Overview

Dataset statistics

Number of variables9
Number of observations319
Missing cells933
Missing cells (%)32.5%
Duplicate rows1
Duplicate rows (%)0.3%
Total size in memory22.9 KiB
Average record size in memory73.4 B

Variable types

Text4
DateTime2
Categorical3

Dataset

Description- 제주특별자치도에서 진행되는 행사의 시작일, 종료일, 요금, 주최자 등의 정보를 제공합니다. - 데이터 제공처: 공공데이터포털
Author제주데이터허브
URLhttps://www.jejudatahub.net/data/view/data/761

Alerts

Dataset has 1 (0.3%) duplicate rowsDuplicates
종료시간 is highly overall correlated with 요금High correlation
시작시간 is highly overall correlated with 요금High correlation
요금 is highly overall correlated with 시작시간 and 1 other fieldsHigh correlation
시작시간 is highly imbalanced (52.5%)Imbalance
종료시간 is highly imbalanced (55.0%)Imbalance
요금 is highly imbalanced (95.4%)Imbalance
시작일 has 4 (1.3%) missing valuesMissing
종료일 has 5 (1.6%) missing valuesMissing
주관 has 304 (95.3%) missing valuesMissing
주최 has 305 (95.6%) missing valuesMissing
후원 has 315 (98.7%) missing valuesMissing

Reproduction

Analysis started2023-12-11 19:38:56.554262
Analysis finished2023-12-11 19:38:57.770309
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

콘텐츠명
Text

Distinct318
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T04:38:58.525659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length33
Mean length14.22884
Min length4

Characters and Unicode

Total characters4539
Distinct characters540
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique317 ?
Unique (%)99.4%

Sample

1st row생태가 살아있는 예래마을 에코파티
2nd row일출랜드 철쭉제 & 미천굴 정영훈 미디어 아트전
3rd row제주의 청정마을 ‘청수 에코파티’
4th row하효 마을 감귤 꽃 에코파티
5th row자연에 어울린 한남리 유채꽃 에코파티
ValueCountFrequency (%)
제주 27
 
2.9%
축제 20
 
2.1%
2017 17
 
1.8%
페스티벌 12
 
1.3%
12
 
1.3%
2019 11
 
1.2%
한림공원 9
 
1.0%
2018 7
 
0.7%
서귀포 7
 
0.7%
2021 7
 
0.7%
Other values (690) 816
86.3%
2023-12-12T04:38:59.131626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
640
 
14.1%
제 268
 
5.9%
주 116
 
2.6%
축 107
 
2.4%
2 87
 
1.9%
0 72
 
1.6%
스 68
 
1.5%
1 65
 
1.4%
리 47
 
1.0%
회 44
 
1.0%
Other values (530) 3025
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3210
70.7%
Space Separator 640
 
14.1%
Decimal Number 287
 
6.3%
Uppercase Letter 160
 
3.5%
Lowercase Letter 98
 
2.2%
Other Punctuation 52
 
1.1%
Open Punctuation 26
 
0.6%
Close Punctuation 25
 
0.6%
Dash Punctuation 12
 
0.3%
Math Symbol 12
 
0.3%
Other values (3) 17
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 268
 
8.3%
주 116
 
3.6%
축 107
 
3.3%
스 68
 
2.1%
리 47
 
1.5%
회 44
 
1.4%
페 44
 
1.4%
티 43
 
1.3%
이 42
 
1.3%
트 40
 
1.2%
Other values (449) 2391
74.5%
Uppercase Letter
ValueCountFrequency (%)
E 17
 
10.6%
J 14
 
8.8%
N 12
 
7.5%
U 9
 
5.6%
O 9
 
5.6%
A 9
 
5.6%
S 8
 
5.0%
T 8
 
5.0%
I 8
 
5.0%
L 8
 
5.0%
Other values (14) 58
36.2%
Lowercase Letter
ValueCountFrequency (%)
t 11
11.2%
i 10
10.2%
e 10
10.2%
s 9
 
9.2%
o 9
 
9.2%
a 7
 
7.1%
r 5
 
5.1%
n 5
 
5.1%
l 5
 
5.1%
h 4
 
4.1%
Other values (11) 23
23.5%
Other Punctuation
ValueCountFrequency (%)
, 18
34.6%
' 10
19.2%
. 7
 
13.5%
& 6
 
11.5%
! 3
 
5.8%
; 2
 
3.8%
" 2
 
3.8%
/ 1
 
1.9%
＆ 1
 
1.9%
· 1
 
1.9%
Decimal Number
ValueCountFrequency (%)
2 87
30.3%
0 72
25.1%
1 65
22.6%
7 22
 
7.7%
9 16
 
5.6%
8 16
 
5.6%
3 4
 
1.4%
4 3
 
1.0%
5 1
 
0.3%
6 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
> 5
41.7%
< 5
41.7%
× 1
 
8.3%
~ 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 21
80.8%
[ 5
 
19.2%
Close Punctuation
ValueCountFrequency (%)
) 21
84.0%
] 4
 
16.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
60.0%
” 2
40.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
60.0%
“ 2
40.0%
Space Separator
ValueCountFrequency (%)
640
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3201
70.5%
Common 1071
 
23.6%
Latin 258
 
5.7%
Han 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 268
 
8.4%
주 116
 
3.6%
축 107
 
3.3%
스 68
 
2.1%
리 47
 
1.5%
회 44
 
1.4%
페 44
 
1.4%
티 43
 
1.3%
이 42
 
1.3%
트 40
 
1.2%
Other values (442) 2382
74.4%
Latin
ValueCountFrequency (%)
E 17
 
6.6%
J 14
 
5.4%
N 12
 
4.7%
t 11
 
4.3%
i 10
 
3.9%
e 10
 
3.9%
s 9
 
3.5%
U 9
 
3.5%
O 9
 
3.5%
A 9
 
3.5%
Other values (35) 148
57.4%
Common
ValueCountFrequency (%)
640
59.8%
2 87
 
8.1%
0 72
 
6.7%
1 65
 
6.1%
7 22
 
2.1%
( 21
 
2.0%
) 21
 
2.0%
, 18
 
1.7%
9 16
 
1.5%
8 16
 
1.5%
Other values (26) 93
 
8.7%
Han
ValueCountFrequency (%)
人 2
22.2%
展 2
22.2%
然 1
11.1%
自 1
11.1%
必 1
11.1%
歸 1
11.1%
鄕 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3201
70.5%
ASCII 1316
29.0%
Punctuation 10
 
0.2%
CJK 9
 
0.2%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
640
48.6%
2 87
 
6.6%
0 72
 
5.5%
1 65
 
4.9%
7 22
 
1.7%
( 21
 
1.6%
) 21
 
1.6%
, 18
 
1.4%
E 17
 
1.3%
9 16
 
1.2%
Other values (64) 337
25.6%
Hangul
ValueCountFrequency (%)
제 268
 
8.4%
주 116
 
3.6%
축 107
 
3.3%
스 68
 
2.1%
리 47
 
1.5%
회 44
 
1.4%
페 44
 
1.4%
티 43
 
1.3%
이 42
 
1.3%
트 40
 
1.2%
Other values (442) 2382
74.4%
Punctuation
ValueCountFrequency (%)
’ 3
30.0%
‘ 3
30.0%
” 2
20.0%
“ 2
20.0%
CJK
ValueCountFrequency (%)
人 2
22.2%
展 2
22.2%
然 1
11.1%
自 1
11.1%
必 1
11.1%
歸 1
11.1%
鄕 1
11.1%
None
ValueCountFrequency (%)
× 1
33.3%
＆ 1
33.3%
· 1
33.3%

시작일
Date

MISSING 

Distinct238
Distinct (%)75.6%
Missing4
Missing (%)1.3%
Memory size2.6 KiB
Minimum2012-07-18 00:00:00
Maximum2022-06-23 00:00:00
2023-12-12T04:38:59.312434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:38:59.588658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료일
Date

MISSING 

Distinct233
Distinct (%)74.2%
Missing5
Missing (%)1.6%
Memory size2.6 KiB
Minimum2017-05-07 00:00:00
Maximum2022-06-26 00:00:00
2023-12-12T04:38:59.867166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:39:00.135334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시작시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct22
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
213 
10:00
28 
9:00
 
19
14:00
 
8
15:00
 
7
Other values (17)
44 

Length

Max length5
Median length4
Mean length4.2382445
Min length4

Unique

Unique6 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 213
66.8%
10:00 28
 
8.8%
9:00 19
 
6.0%
14:00 8
 
2.5%
15:00 7
 
2.2%
11:00 6
 
1.9%
19:00 5
 
1.6%
9:30 4
 
1.3%
19:30 4
 
1.3%
18:00 3
 
0.9%
Other values (12) 22
 
6.9%

Length

2023-12-12T04:39:00.442540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 213
66.8%
10:00 28
 
8.8%
9:00 19
 
6.0%
14:00 8
 
2.5%
15:00 7
 
2.2%
11:00 6
 
1.9%
19:00 5
 
1.6%
9:30 4
 
1.3%
19:30 4
 
1.3%
16:00 3
 
0.9%
Other values (12) 22
 
6.9%

종료시간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct26
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
222 
18:00
 
18
22:00
 
12
17:00
 
10
21:00
 
7
Other values (21)
50 

Length

Max length5
Median length4
Mean length4.2978056
Min length4

Unique

Unique9 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 222
69.6%
18:00 18
 
5.6%
22:00 12
 
3.8%
17:00 10
 
3.1%
21:00 7
 
2.2%
19:00 7
 
2.2%
18:30 5
 
1.6%
20:00 4
 
1.3%
16:00 4
 
1.3%
17:30 4
 
1.3%
Other values (16) 26
 
8.2%

Length

2023-12-12T04:39:00.673878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 222
69.6%
18:00 18
 
5.6%
22:00 12
 
3.8%
17:00 10
 
3.1%
21:00 7
 
2.2%
19:00 7
 
2.2%
18:30 5
 
1.6%
20:00 4
 
1.3%
16:00 4
 
1.3%
17:30 4
 
1.3%
Other values (16) 26
 
8.2%

요금
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
316 
30000
 
1
5000
 
1
20000
 
1

Length

Max length5
Median length4
Mean length4.0062696
Min length4

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 316
99.1%
30000 1
 
0.3%
5000 1
 
0.3%
20000 1
 
0.3%

Length

2023-12-12T04:39:00.984190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:39:01.162105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 316
99.1%
30000 1
 
0.3%
5000 1
 
0.3%
20000 1
 
0.3%

주관
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing304
Missing (%)95.3%
Memory size2.6 KiB
2023-12-12T04:39:01.455646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length12
Mean length11.066667
Min length3

Characters and Unicode

Total characters166
Distinct characters78
Distinct categories5 ?
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 (%)100.0%

Sample

1st row서귀포시
2nd row아라한디자인웍스
3rd row서귀포시 문화예술과
4th row서귀포시관광협회
5th row성산일출축제집행위원회
ValueCountFrequency (%)
제주관광공사 3
 
13.0%
조직위원회 2
 
8.7%
한국관광공사 2
 
8.7%
서귀포시 2
 
8.7%
성산일출축제집행위원회 1
 
4.3%
제주드론필름페스티벌 1
 
4.3%
서귀포시관광협회 1
 
4.3%
하스카 1
 
4.3%
더스토리b 1
 
4.3%
아라한디자인웍스 1
 
4.3%
Other values (8) 8
34.8%
2023-12-12T04:39:02.064584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 9
 
5.4%
9
 
5.4%
공 8
 
4.8%
관 7
 
4.2%
주 7
 
4.2%
광 7
 
4.2%
회 6
 
3.6%
사 5
 
3.0%
, 5
 
3.0%
원 5
 
3.0%
Other values (68) 98
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146
88.0%
Space Separator 9
 
5.4%
Other Punctuation 5
 
3.0%
Uppercase Letter 5
 
3.0%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 9
 
6.2%
공 8
 
5.5%
관 7
 
4.8%
주 7
 
4.8%
광 7
 
4.8%
회 6
 
4.1%
사 5
 
3.4%
원 5
 
3.4%
위 4
 
2.7%
스 4
 
2.7%
Other values (61) 84
57.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
S 1
20.0%
I 1
20.0%
J 1
20.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146
88.0%
Common 15
 
9.0%
Latin 5
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 9
 
6.2%
공 8
 
5.5%
관 7
 
4.8%
주 7
 
4.8%
광 7
 
4.8%
회 6
 
4.1%
사 5
 
3.4%
원 5
 
3.4%
위 4
 
2.7%
스 4
 
2.7%
Other values (61) 84
57.5%
Latin
ValueCountFrequency (%)
B 2
40.0%
S 1
20.0%
I 1
20.0%
J 1
20.0%
Common
ValueCountFrequency (%)
9
60.0%
, 5
33.3%
3 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146
88.0%
ASCII 20
 
12.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 9
 
6.2%
공 8
 
5.5%
관 7
 
4.8%
주 7
 
4.8%
광 7
 
4.8%
회 6
 
4.1%
사 5
 
3.4%
원 5
 
3.4%
위 4
 
2.7%
스 4
 
2.7%
Other values (61) 84
57.5%
ASCII
ValueCountFrequency (%)
9
45.0%
, 5
25.0%
B 2
 
10.0%
S 1
 
5.0%
3 1
 
5.0%
I 1
 
5.0%
J 1
 
5.0%

주최
Text

MISSING 

Distinct11
Distinct (%)78.6%
Missing305
Missing (%)95.6%
Memory size2.6 KiB
2023-12-12T04:39:02.370961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.9285714
Min length3

Characters and Unicode

Total characters111
Distinct characters53
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

Unique9 ?
Unique (%)64.3%

Sample

1st row서귀포시
2nd row제주특별자치도 해녀문화유산과
3rd row서귀포시 문화예술과
4th row서귀포시
5th row제주특별자치도
ValueCountFrequency (%)
제주특별자치도 5
27.8%
서귀포시 3
16.7%
해녀문화유산과 1
 
5.6%
문화예술과 1
 
5.6%
주)제주방송 1
 
5.6%
하스카 1
 
5.6%
더스토리b 1
 
5.6%
공무원연금공단 1
 
5.6%
사)제주국제문화교류회 1
 
5.6%
온평리 1
 
5.6%
Other values (2) 2
 
11.1%
2023-12-12T04:39:02.916374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 8
 
7.2%
주 8
 
7.2%
5
 
4.5%
특 5
 
4.5%
별 5
 
4.5%
자 5
 
4.5%
치 5
 
4.5%
도 5
 
4.5%
리 3
 
2.7%
화 3
 
2.7%
Other values (43) 59
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
89.2%
Space Separator 5
 
4.5%
Open Punctuation 2
 
1.8%
Close Punctuation 2
 
1.8%
Decimal Number 1
 
0.9%
Uppercase Letter 1
 
0.9%
Other Punctuation 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 8
 
8.1%
주 8
 
8.1%
특 5
 
5.1%
별 5
 
5.1%
자 5
 
5.1%
치 5
 
5.1%
도 5
 
5.1%
리 3
 
3.0%
화 3
 
3.0%
문 3
 
3.0%
Other values (37) 49
49.5%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
89.2%
Common 11
 
9.9%
Latin 1
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 8
 
8.1%
주 8
 
8.1%
특 5
 
5.1%
별 5
 
5.1%
자 5
 
5.1%
치 5
 
5.1%
도 5
 
5.1%
리 3
 
3.0%
화 3
 
3.0%
문 3
 
3.0%
Other values (37) 49
49.5%
Common
ValueCountFrequency (%)
5
45.5%
( 2
 
18.2%
) 2
 
18.2%
3 1
 
9.1%
, 1
 
9.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
89.2%
ASCII 12
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 8
 
8.1%
주 8
 
8.1%
특 5
 
5.1%
별 5
 
5.1%
자 5
 
5.1%
치 5
 
5.1%
도 5
 
5.1%
리 3
 
3.0%
화 3
 
3.0%
문 3
 
3.0%
Other values (37) 49
49.5%
ASCII
ValueCountFrequency (%)
5
41.7%
( 2
 
16.7%
) 2
 
16.7%
3 1
 
8.3%
B 1
 
8.3%
, 1
 
8.3%

후원
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing315
Missing (%)98.7%
Memory size2.6 KiB
2023-12-12T04:39:03.231999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length14
Mean length29
Min length10

Characters and Unicode

Total characters116
Distinct characters64
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

Unique4 ?
Unique (%)100.0%

Sample

1st row하스카, 더스토리B, 커피수목원
2nd row이호동 주민자치위원회
3rd row제주세계자연유산본부
4th row제주특별자치도, 제주특별자치도 체육회, (사)대한철인3종협회, 서귀포시청, 제주특별자치도개발공사, 성산읍시흥리, 제주오션파크, 도심건설(주)
ValueCountFrequency (%)
제주특별자치도 2
13.3%
하스카 1
 
6.7%
더스토리b 1
 
6.7%
커피수목원 1
 
6.7%
이호동 1
 
6.7%
주민자치위원회 1
 
6.7%
제주세계자연유산본부 1
 
6.7%
체육회 1
 
6.7%
사)대한철인3종협회 1
 
6.7%
서귀포시청 1
 
6.7%
Other values (4) 4
26.7%
2023-12-12T04:39:03.769753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
9.5%
, 9
 
7.8%
주 7
 
6.0%
제 5
 
4.3%
자 5
 
4.3%
치 4
 
3.4%
도 4
 
3.4%
특 3
 
2.6%
회 3
 
2.6%
별 3
 
2.6%
Other values (54) 62
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90
77.6%
Space Separator 11
 
9.5%
Other Punctuation 9
 
7.8%
Close Punctuation 2
 
1.7%
Open Punctuation 2
 
1.7%
Decimal Number 1
 
0.9%
Uppercase Letter 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 7
 
7.8%
제 5
 
5.6%
자 5
 
5.6%
치 4
 
4.4%
도 4
 
4.4%
특 3
 
3.3%
회 3
 
3.3%
별 3
 
3.3%
원 2
 
2.2%
사 2
 
2.2%
Other values (48) 52
57.8%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90
77.6%
Common 25
 
21.6%
Latin 1
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 7
 
7.8%
제 5
 
5.6%
자 5
 
5.6%
치 4
 
4.4%
도 4
 
4.4%
특 3
 
3.3%
회 3
 
3.3%
별 3
 
3.3%
원 2
 
2.2%
사 2
 
2.2%
Other values (48) 52
57.8%
Common
ValueCountFrequency (%)
11
44.0%
, 9
36.0%
) 2
 
8.0%
( 2
 
8.0%
3 1
 
4.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90
77.6%
ASCII 26
 
22.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
42.3%
, 9
34.6%
) 2
 
7.7%
( 2
 
7.7%
3 1
 
3.8%
B 1
 
3.8%
Hangul
ValueCountFrequency (%)
주 7
 
7.8%
제 5
 
5.6%
자 5
 
5.6%
치 4
 
4.4%
도 4
 
4.4%
특 3
 
3.3%
회 3
 
3.3%
별 3
 
3.3%
원 2
 
2.2%
사 2
 
2.2%
Other values (48) 52
57.8%

Correlations

2023-12-12T04:39:03.895379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시작시간종료시간요금주관주최후원
시작시간1.0000.8111.0001.0000.9431.000
종료시간0.8111.0001.0001.0001.0001.000
요금1.0001.0001.000NaNNaNNaN
주관1.0001.000NaN1.0001.0001.000
주최0.9431.000NaN1.0001.0001.000
후원1.0001.000NaN1.0001.0001.000
2023-12-12T04:39:04.078399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종료시간시작시간요금
종료시간1.0000.3421.000
시작시간0.3421.0001.000
요금1.0001.0001.000
2023-12-12T04:39:04.232343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시작시간종료시간요금
시작시간1.0000.3421.000
종료시간0.3421.0001.000
요금1.0001.0001.000

Missing values

2023-12-12T04:38:57.280591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T04:38:57.475015image/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.
2023-12-12T04:38:57.637369image/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

콘텐츠명시작일종료일시작시간종료시간요금주관주최후원
0생태가 살아있는 예래마을 에코파티2018-04-212018-04-21<NA><NA><NA><NA><NA><NA>
1일출랜드 철쭉제 & 미천굴 정영훈 미디어 아트전2018-04-152018-05-31<NA><NA><NA><NA><NA><NA>
2제주의 청정마을 ‘청수 에코파티’2018-04-282018-04-28<NA><NA><NA><NA><NA><NA>
3하효 마을 감귤 꽃 에코파티2018-05-062018-05-06<NA><NA><NA><NA><NA><NA>
4자연에 어울린 한남리 유채꽃 에코파티2018-05-122018-05-12<NA><NA><NA><NA><NA><NA>
52018 제주사랑 자선 만보 걷기대회2018-05-192018-05-19<NA><NA><NA><NA><NA><NA>
6선흘1리 에코파티 - 숲편지와 손편지2018-05-192018-05-19<NA><NA><NA><NA><NA><NA>
7토요박물관산책(국립제주박물관 문화공감 프로그램)2018-07-142018-10-27<NA><NA><NA><NA><NA><NA>
8이호바당노을 콘서트2018-07-142018-07-2220:0021:30<NA><NA><NA><NA>
9감물 들이기, 봉숭아 물들이기 체험행사2018-07-282018-08-05<NA><NA><NA><NA><NA><NA>
콘텐츠명시작일종료일시작시간종료시간요금주관주최후원
309본태박물관 제임스 터렐 전시2019-12-062019-12-3110:0018:0020000<NA><NA><NA>
3102019 김만덕기념관 나눔 작은 그림전 ‘우리 집에 그림 하나’2019-12-202020-02-28<NA><NA><NA><NA><NA><NA>
3112020 세계유산축전 - 제주화산섬과 용암동굴2020-09-042020-09-20<NA><NA><NA><NA><NA><NA>
312한림공원 국화축제2021-11-062021-11-28<NA><NA><NA><NA><NA><NA>
313서귀포 치유의숲 웰니스 멍때리기 대회2021-05-262021-05-2615:0017:00<NA><NA><NA><NA>
314문화 향유의 공간, 탐나는 원도심2021-10-152021-11-27<NA><NA><NA><NA><NA><NA>
315상효원 동백축제 - 동백꽃길을 걷다2021-12-012022-02-289:0018:00<NA><NA><NA><NA>
3162022 스누피가든 발렌타인 축제 - LOVE IN SNOOPYGARDEN2022-02-082022-03-319:0016:00<NA><NA><NA><NA>
317명월국민학교 × 폴라로이드스타일 팝업스토어2022-03-032022-03-31<NA><NA><NA><NA><NA><NA>
3182022 하영올레 걷기축제 & 걷기주간2022-03-212022-03-27<NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

콘텐츠명시작일종료일시작시간종료시간요금주관주최후원# duplicates
0가파도청보리축제2019-03-302019-05-12<NA><NA><NA><NA><NA><NA>2