Overview

Dataset statistics

Number of variables14
Number of observations199
Missing cells308
Missing cells (%)11.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.7 KiB
Average record size in memory116.7 B

Variable types

Text8
Numeric4
Categorical2

Dataset

DescriptionSample
Author(주)넥스트이지
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=NXEEVENTSINFO

Alerts

20200807 is highly overall correlated with 20200809High correlation
20200809 is highly overall correlated with 20200807High correlation
Lohas Exhibition has 191 (96.0%) missing valuesMissing
064-722-3288 has 37 (18.6%) missing valuesMissing
http://www.lohasjeju.co.kr/index.php has 79 (39.7%) missing valuesMissing
로하스박람회 has unique valuesUnique

Reproduction

Analysis started2023-12-10 06:15:32.862371
Analysis finished2023-12-10 06:15:37.550836
Duration4.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

로하스박람회
Text

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:15:37.875590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length17
Mean length8.8592965
Min length3

Characters and Unicode

Total characters1763
Distinct characters398
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique199 ?
Unique (%)100.0%

Sample

1st row제주목관아 민속놀이마당
2nd row페인터즈:히어로
3rd row제주국제관광마라톤축제
4th row제주설문대할말페스티벌
5th row제주해비치아트페스티벌
ValueCountFrequency (%)
제주 11
 
3.4%
페스티벌 9
 
2.8%
한림공원 8
 
2.5%
축제 4
 
1.3%
서귀포 4
 
1.3%
매화축제 3
 
0.9%
콘서트 3
 
0.9%
수국축제 3
 
0.9%
휴애리 3
 
0.9%
오라 2
 
0.6%
Other values (261) 269
84.3%
2023-12-10T15:15:38.576352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 154
 
8.7%
120
 
6.8%
축 72
 
4.1%
주 68
 
3.9%
스 38
 
2.2%
페 27
 
1.5%
티 24
 
1.4%
마 22
 
1.2%
벌 22
 
1.2%
화 22
 
1.2%
Other values (388) 1194
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1580
89.6%
Space Separator 120
 
6.8%
Uppercase Letter 22
 
1.2%
Decimal Number 17
 
1.0%
Other Punctuation 11
 
0.6%
Lowercase Letter 10
 
0.6%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 154
 
9.7%
축 72
 
4.6%
주 68
 
4.3%
스 38
 
2.4%
페 27
 
1.7%
티 24
 
1.5%
마 22
 
1.4%
벌 22
 
1.4%
화 22
 
1.4%
리 21
 
1.3%
Other values (353) 1110
70.3%
Uppercase Letter
ValueCountFrequency (%)
J 5
22.7%
C 4
18.2%
E 2
 
9.1%
F 2
 
9.1%
V 1
 
4.5%
D 1
 
4.5%
U 1
 
4.5%
I 1
 
4.5%
W 1
 
4.5%
A 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
3 4
23.5%
0 4
23.5%
1 4
23.5%
9 2
11.8%
4 1
 
5.9%
2 1
 
5.9%
6 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
40.0%
n 1
 
10.0%
i 1
 
10.0%
t 1
 
10.0%
a 1
 
10.0%
j 1
 
10.0%
u 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
& 4
36.4%
# 2
18.2%
; 2
18.2%
. 1
 
9.1%
: 1
 
9.1%
· 1
 
9.1%
Space Separator
ValueCountFrequency (%)
120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1580
89.6%
Common 151
 
8.6%
Latin 32
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 154
 
9.7%
축 72
 
4.6%
주 68
 
4.3%
스 38
 
2.4%
페 27
 
1.7%
티 24
 
1.5%
마 22
 
1.4%
벌 22
 
1.4%
화 22
 
1.4%
리 21
 
1.3%
Other values (353) 1110
70.3%
Latin
ValueCountFrequency (%)
J 5
15.6%
C 4
 
12.5%
e 4
 
12.5%
E 2
 
6.2%
F 2
 
6.2%
V 1
 
3.1%
D 1
 
3.1%
n 1
 
3.1%
U 1
 
3.1%
I 1
 
3.1%
Other values (10) 10
31.2%
Common
ValueCountFrequency (%)
120
79.5%
3 4
 
2.6%
0 4
 
2.6%
1 4
 
2.6%
& 4
 
2.6%
- 3
 
2.0%
9 2
 
1.3%
# 2
 
1.3%
; 2
 
1.3%
4 1
 
0.7%
Other values (5) 5
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1580
89.6%
ASCII 182
 
10.3%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 154
 
9.7%
축 72
 
4.6%
주 68
 
4.3%
스 38
 
2.4%
페 27
 
1.7%
티 24
 
1.5%
마 22
 
1.4%
벌 22
 
1.4%
화 22
 
1.4%
리 21
 
1.3%
Other values (353) 1110
70.3%
ASCII
ValueCountFrequency (%)
120
65.9%
J 5
 
2.7%
C 4
 
2.2%
3 4
 
2.2%
0 4
 
2.2%
1 4
 
2.2%
e 4
 
2.2%
& 4
 
2.2%
- 3
 
1.6%
9 2
 
1.1%
Other values (24) 28
 
15.4%
None
ValueCountFrequency (%)
· 1
100.0%

Lohas Exhibition
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing191
Missing (%)96.0%
Memory size1.7 KiB
2023-12-10T15:15:38.839784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length9.5
Min length5

Characters and Unicode

Total characters76
Distinct characters42
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st rowJEJUMARATHON
2nd row세계유산축전
3rd rowJEJU FOOD SHOW
4th row성산일출제
5th rowJIEAF
ValueCountFrequency (%)
jeju 2
14.3%
jejumarathon 1
 
7.1%
세계유산축전 1
 
7.1%
food 1
 
7.1%
show 1
 
7.1%
성산일출제 1
 
7.1%
jieaf 1
 
7.1%
cafesta 1
 
7.1%
bellong 1
 
7.1%
market 1
 
7.1%
Other values (3) 3
21.4%
2023-12-10T15:15:39.311819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
J 7
 
9.2%
6
 
7.9%
A 5
 
6.6%
E 5
 
6.6%
O 4
 
5.3%
U 3
 
3.9%
F 3
 
3.9%
l 2
 
2.6%
제 2
 
2.6%
S 2
 
2.6%
Other values (32) 37
48.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 42
55.3%
Other Letter 17
22.4%
Lowercase Letter 11
 
14.5%
Space Separator 6
 
7.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
J 7
16.7%
A 5
11.9%
E 5
11.9%
O 4
9.5%
U 3
7.1%
F 3
7.1%
S 2
 
4.8%
H 2
 
4.8%
T 2
 
4.8%
M 2
 
4.8%
Other values (7) 7
16.7%
Other Letter
ValueCountFrequency (%)
제 2
 
11.8%
산 2
 
11.8%
베 1
 
5.9%
네 1
 
5.9%
띠 1
 
5.9%
아 1
 
5.9%
성 1
 
5.9%
출 1
 
5.9%
일 1
 
5.9%
전 1
 
5.9%
Other values (5) 5
29.4%
Lowercase Letter
ValueCountFrequency (%)
l 2
18.2%
e 2
18.2%
t 1
9.1%
k 1
9.1%
r 1
9.1%
a 1
9.1%
g 1
9.1%
n 1
9.1%
o 1
9.1%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 53
69.7%
Hangul 17
 
22.4%
Common 6
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
J 7
 
13.2%
A 5
 
9.4%
E 5
 
9.4%
O 4
 
7.5%
U 3
 
5.7%
F 3
 
5.7%
l 2
 
3.8%
S 2
 
3.8%
H 2
 
3.8%
T 2
 
3.8%
Other values (16) 18
34.0%
Hangul
ValueCountFrequency (%)
제 2
 
11.8%
산 2
 
11.8%
베 1
 
5.9%
네 1
 
5.9%
띠 1
 
5.9%
아 1
 
5.9%
성 1
 
5.9%
출 1
 
5.9%
일 1
 
5.9%
전 1
 
5.9%
Other values (5) 5
29.4%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59
77.6%
Hangul 17
 
22.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
J 7
 
11.9%
6
 
10.2%
A 5
 
8.5%
E 5
 
8.5%
O 4
 
6.8%
U 3
 
5.1%
F 3
 
5.1%
l 2
 
3.4%
S 2
 
3.4%
H 2
 
3.4%
Other values (17) 20
33.9%
Hangul
ValueCountFrequency (%)
제 2
 
11.8%
산 2
 
11.8%
베 1
 
5.9%
네 1
 
5.9%
띠 1
 
5.9%
아 1
 
5.9%
성 1
 
5.9%
출 1
 
5.9%
일 1
 
5.9%
전 1
 
5.9%
Other values (5) 5
29.4%

한라의료재단주최/제주특별자치도관광협회주최/한국로하스협회주최/이용요금5000원-사전등록시무료
Text

Distinct157
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:15:39.612375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length44
Mean length22.819095
Min length2

Characters and Unicode

Total characters4541
Distinct characters368
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

Unique136 ?
Unique (%)68.3%

Sample

1st row제주목관아주최/이용요금무료
2nd row펜타토닉제주주최/VIP석60000원/S석50000원/A석40000원
3rd row제주특별자치도주최/제주특별자치도관광협회주관/Full-Half코스30000원/일반-워킹코스20000원
4th row제주특별자치도주최/제주돌문화공원소주관/이용요금무료
5th row한묵문화예술회관연합회주최/제주특별자치도주최/한국문화예술위원회주최/이용요금홈페이지참고
ValueCountFrequency (%)
없음 15
 
6.2%
토요일 9
 
3.7%
셋째주 6
 
2.5%
일요일 6
 
2.5%
마지막주 5
 
2.1%
한림공원주최/한림공원주관/성인12000원/경로10000원/청소년8000원/어린이7000원 4
 
1.7%
매주 4
 
1.7%
한림공원주최/한림공원주관/이용요금12000원 3
 
1.2%
제주특별자치도주최/제주관광공사주관/jibs주관/이용요금무료 3
 
1.2%
참가비350000/후원회원참가비315000/선착순30명 3
 
1.2%
Other values (165) 183
75.9%
2023-12-10T15:15:40.214740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 363
 
8.0%
주 341
 
7.5%
/ 292
 
6.4%
원 170
 
3.7%
최 138
 
3.0%
제 128
 
2.8%
관 109
 
2.4%
1 99
 
2.2%
이 83
 
1.8%
회 81
 
1.8%
Other values (358) 2737
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3473
76.5%
Decimal Number 604
 
13.3%
Other Punctuation 321
 
7.1%
Uppercase Letter 54
 
1.2%
Space Separator 43
 
0.9%
Lowercase Letter 14
 
0.3%
Dash Punctuation 10
 
0.2%
Close Punctuation 9
 
0.2%
Open Punctuation 9
 
0.2%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 341
 
9.8%
원 170
 
4.9%
최 138
 
4.0%
제 128
 
3.7%
관 109
 
3.1%
이 83
 
2.4%
회 81
 
2.3%
요 78
 
2.2%
료 61
 
1.8%
금 58
 
1.7%
Other values (313) 2226
64.1%
Uppercase Letter
ValueCountFrequency (%)
J 8
14.8%
I 8
14.8%
S 7
13.0%
B 6
11.1%
C 5
9.3%
V 3
 
5.6%
F 3
 
5.6%
A 2
 
3.7%
K 2
 
3.7%
D 2
 
3.7%
Other values (7) 8
14.8%
Decimal Number
ValueCountFrequency (%)
0 363
60.1%
1 99
 
16.4%
5 31
 
5.1%
3 29
 
4.8%
2 25
 
4.1%
7 18
 
3.0%
8 13
 
2.2%
6 10
 
1.7%
9 10
 
1.7%
4 6
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
k 3
21.4%
l 3
21.4%
i 3
21.4%
x 1
 
7.1%
e 1
 
7.1%
f 1
 
7.1%
a 1
 
7.1%
u 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
/ 292
91.0%
: 22
 
6.9%
% 5
 
1.6%
. 1
 
0.3%
@ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3473
76.5%
Common 1000
 
22.0%
Latin 68
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 341
 
9.8%
원 170
 
4.9%
최 138
 
4.0%
제 128
 
3.7%
관 109
 
3.1%
이 83
 
2.4%
회 81
 
2.3%
요 78
 
2.2%
료 61
 
1.8%
금 58
 
1.7%
Other values (313) 2226
64.1%
Latin
ValueCountFrequency (%)
J 8
11.8%
I 8
11.8%
S 7
 
10.3%
B 6
 
8.8%
C 5
 
7.4%
V 3
 
4.4%
k 3
 
4.4%
F 3
 
4.4%
l 3
 
4.4%
i 3
 
4.4%
Other values (15) 19
27.9%
Common
ValueCountFrequency (%)
0 363
36.3%
/ 292
29.2%
1 99
 
9.9%
43
 
4.3%
5 31
 
3.1%
3 29
 
2.9%
2 25
 
2.5%
: 22
 
2.2%
7 18
 
1.8%
8 13
 
1.3%
Other values (10) 65
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3473
76.5%
ASCII 1068
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 363
34.0%
/ 292
27.3%
1 99
 
9.3%
43
 
4.0%
5 31
 
2.9%
3 29
 
2.7%
2 25
 
2.3%
: 22
 
2.1%
7 18
 
1.7%
8 13
 
1.2%
Other values (35) 133
 
12.5%
Hangul
ValueCountFrequency (%)
주 341
 
9.8%
원 170
 
4.9%
최 138
 
4.0%
제 128
 
3.7%
관 109
 
3.1%
이 83
 
2.4%
회 81
 
2.3%
요 78
 
2.2%
료 61
 
1.8%
금 58
 
1.7%
Other values (313) 2226
64.1%

20200807
Real number (ℝ)

HIGH CORRELATION 

Distinct132
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20187247
Minimum20150101
Maximum20201030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:40.553168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150101
5-th percentile20150101
Q120181214
median20190706
Q320191112
95-th percentile20200707
Maximum20201030
Range50929
Interquartile range (IQR)9897

Descriptive statistics

Standard deviation13115.281
Coefficient of variation (CV)0.0006496815
Kurtosis2.7656153
Mean20187247
Median Absolute Deviation (MAD)515
Skewness-1.785244
Sum4.0172621 × 109
Variance1.7201059 × 108
MonotonicityNot monotonic
2023-12-10T15:15:41.222409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150101 14
 
7.0%
20200101 12
 
6.0%
20190601 7
 
3.5%
20181103 5
 
2.5%
20190726 4
 
2.0%
20191004 3
 
1.5%
20190803 3
 
1.5%
20191019 3
 
1.5%
20190531 3
 
1.5%
20190504 3
 
1.5%
Other values (122) 142
71.4%
ValueCountFrequency (%)
20150101 14
7.0%
20150808 1
 
0.5%
20151101 1
 
0.5%
20160505 1
 
0.5%
20160701 1
 
0.5%
20161022 1
 
0.5%
20170505 1
 
0.5%
20170812 1
 
0.5%
20180501 1
 
0.5%
20180511 1
 
0.5%
ValueCountFrequency (%)
20201030 1
0.5%
20200925 1
0.5%
20200906 1
0.5%
20200904 2
1.0%
20200903 1
0.5%
20200824 1
0.5%
20200811 1
0.5%
20200724 1
0.5%
20200716 1
0.5%
20200706 1
0.5%

20200809
Real number (ℝ)

HIGH CORRELATION 

Distinct120
Distinct (%)60.6%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean20187826
Minimum20150808
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:41.457489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20150808
5-th percentile20151231
Q120183450
median20190728
Q320191130
95-th percentile20201121
Maximum20201231
Range50423
Interquartile range (IQR)7680.5

Descriptive statistics

Standard deviation13187.233
Coefficient of variation (CV)0.000653227
Kurtosis2.4833698
Mean20187826
Median Absolute Deviation (MAD)567
Skewness-1.7030387
Sum3.9971896 × 109
Variance1.7390312 × 108
MonotonicityNot monotonic
2023-12-10T15:15:41.726335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151231 14
 
7.0%
20201231 10
 
5.0%
20190602 4
 
2.0%
20181104 4
 
2.0%
20191006 4
 
2.0%
20190831 4
 
2.0%
20191020 4
 
2.0%
20191130 4
 
2.0%
20181103 4
 
2.0%
20190804 3
 
1.5%
Other values (110) 143
71.9%
ValueCountFrequency (%)
20150808 1
 
0.5%
20151101 1
 
0.5%
20151231 14
7.0%
20160508 1
 
0.5%
20160828 1
 
0.5%
20161023 1
 
0.5%
20170522 1
 
0.5%
20170812 1
 
0.5%
20180108 1
 
0.5%
20180702 1
 
0.5%
ValueCountFrequency (%)
20201231 10
5.0%
20201102 1
 
0.5%
20201101 1
 
0.5%
20201025 1
 
0.5%
20201023 1
 
0.5%
20200927 1
 
0.5%
20200920 1
 
0.5%
20200912 1
 
0.5%
20200906 2
 
1.0%
20200831 1
 
0.5%

전시회/박람회/체험학습
Text

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:15:42.119766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length3.6432161
Min length2

Characters and Unicode

Total characters725
Distinct characters80
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

Unique43 ?
Unique (%)21.6%

Sample

1st row공연/역사문화체험
2nd row공연
3rd row마라톤축제
4th row역사문화체험
5th row공연/예술/전시
ValueCountFrequency (%)
공연 28
14.1%
플리마켓 25
12.6%
축제 24
12.1%
체험 22
 
11.1%
꽃축제 13
 
6.5%
공연/축제 9
 
4.5%
전시 6
 
3.0%
공연/예술/전시 5
 
2.5%
축제/공연 5
 
2.5%
체험/공연 5
 
2.5%
Other values (49) 57
28.6%
2023-12-10T15:15:42.770700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
축 69
 
9.5%
제 69
 
9.5%
공 61
 
8.4%
연 61
 
8.4%
/ 50
 
6.9%
체 48
 
6.6%
험 47
 
6.5%
마 29
 
4.0%
플 25
 
3.4%
리 25
 
3.4%
Other values (70) 241
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 674
93.0%
Other Punctuation 51
 
7.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 69
 
10.2%
제 69
 
10.2%
공 61
 
9.1%
연 61
 
9.1%
체 48
 
7.1%
험 47
 
7.0%
마 29
 
4.3%
플 25
 
3.7%
리 25
 
3.7%
켓 25
 
3.7%
Other values (68) 215
31.9%
Other Punctuation
ValueCountFrequency (%)
/ 50
98.0%
. 1
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 674
93.0%
Common 51
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 69
 
10.2%
제 69
 
10.2%
공 61
 
9.1%
연 61
 
9.1%
체 48
 
7.1%
험 47
 
7.0%
마 29
 
4.3%
플 25
 
3.7%
리 25
 
3.7%
켓 25
 
3.7%
Other values (68) 215
31.9%
Common
ValueCountFrequency (%)
/ 50
98.0%
. 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 674
93.0%
ASCII 51
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
축 69
 
10.2%
제 69
 
10.2%
공 61
 
9.1%
연 61
 
9.1%
체 48
 
7.1%
험 47
 
7.0%
마 29
 
4.3%
플 25
 
3.7%
리 25
 
3.7%
켓 25
 
3.7%
Other values (68) 215
31.9%
ASCII
ValueCountFrequency (%)
/ 50
98.0%
. 1
 
2.0%

064-722-3288
Text

MISSING 

Distinct125
Distinct (%)77.2%
Missing37
Missing (%)18.6%
Memory size1.7 KiB
2023-12-10T15:15:43.162030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.851852
Min length9

Characters and Unicode

Total characters1920
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

Unique107 ?
Unique (%)66.0%

Sample

1st row064-710-6711
2nd row064-745-7848
3rd row064-742-8861
4th row064-710-7731
5th row02-3019-5861
ValueCountFrequency (%)
064-796-0001 8
 
4.9%
064-762-2190 6
 
3.7%
064-732-2114 4
 
2.5%
064-711-1002 4
 
2.5%
064-728-2714 3
 
1.9%
064-794-0999 3
 
1.9%
064-787-4501 3
 
1.9%
064-740-6000 3
 
1.9%
064-750-2523 3
 
1.9%
1522-2653 2
 
1.2%
Other values (115) 123
75.9%
2023-12-10T15:15:43.806741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 352
18.3%
- 315
16.4%
6 223
11.6%
4 222
11.6%
7 202
10.5%
2 144
7.5%
1 129
 
6.7%
3 94
 
4.9%
8 94
 
4.9%
9 81
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1605
83.6%
Dash Punctuation 315
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 352
21.9%
6 223
13.9%
4 222
13.8%
7 202
12.6%
2 144
9.0%
1 129
 
8.0%
3 94
 
5.9%
8 94
 
5.9%
9 81
 
5.0%
5 64
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 315
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1920
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 352
18.3%
- 315
16.4%
6 223
11.6%
4 222
11.6%
7 202
10.5%
2 144
7.5%
1 129
 
6.7%
3 94
 
4.9%
8 94
 
4.9%
9 81
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 352
18.3%
- 315
16.4%
6 223
11.6%
4 222
11.6%
7 202
10.5%
2 144
7.5%
1 129
 
6.7%
3 94
 
4.9%
8 94
 
4.9%
9 81
 
4.2%

제주특별자치도 제주시 노연로 80
Text

Distinct153
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:15:44.442568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length22.40201
Min length10

Characters and Unicode

Total characters4458
Distinct characters157
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

Unique128 ?
Unique (%)64.3%

Sample

1st row제주특별자치도 제주시 관덕로 25
2nd row제주특별자치도 제주시 애월읍 평화로 2715
3rd row제주특별자치도 제주시 구좌읍 김녕로 209
4th row제주특별자치도 제주시 조천읍 남조로 2023
5th row제주특별자치도 서귀포시 표선면 민속해안로 537
ValueCountFrequency (%)
제주특별자치도 187
21.3%
제주시 102
 
11.6%
서귀포시 91
 
10.4%
안덕면 14
 
1.6%
한림읍 13
 
1.5%
표선면 12
 
1.4%
조천읍 10
 
1.1%
한림로 9
 
1.0%
성산읍 9
 
1.0%
300 8
 
0.9%
Other values (251) 421
48.1%
2023-12-10T15:15:45.248003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
682
 
15.3%
주 304
 
6.8%
제 301
 
6.8%
도 205
 
4.6%
시 194
 
4.4%
자 192
 
4.3%
별 191
 
4.3%
치 191
 
4.3%
특 191
 
4.3%
로 136
 
3.1%
Other values (147) 1871
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3090
69.3%
Space Separator 682
 
15.3%
Decimal Number 636
 
14.3%
Dash Punctuation 50
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 304
 
9.8%
제 301
 
9.7%
도 205
 
6.6%
시 194
 
6.3%
자 192
 
6.2%
별 191
 
6.2%
치 191
 
6.2%
특 191
 
6.2%
로 136
 
4.4%
서 107
 
3.5%
Other values (135) 1078
34.9%
Decimal Number
ValueCountFrequency (%)
2 118
18.6%
1 104
16.4%
0 78
12.3%
3 68
10.7%
4 67
10.5%
6 47
 
7.4%
7 42
 
6.6%
8 40
 
6.3%
5 38
 
6.0%
9 34
 
5.3%
Space Separator
ValueCountFrequency (%)
682
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3090
69.3%
Common 1368
30.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 304
 
9.8%
제 301
 
9.7%
도 205
 
6.6%
시 194
 
6.3%
자 192
 
6.2%
별 191
 
6.2%
치 191
 
6.2%
특 191
 
6.2%
로 136
 
4.4%
서 107
 
3.5%
Other values (135) 1078
34.9%
Common
ValueCountFrequency (%)
682
49.9%
2 118
 
8.6%
1 104
 
7.6%
0 78
 
5.7%
3 68
 
5.0%
4 67
 
4.9%
- 50
 
3.7%
6 47
 
3.4%
7 42
 
3.1%
8 40
 
2.9%
Other values (2) 72
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3090
69.3%
ASCII 1368
30.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
682
49.9%
2 118
 
8.6%
1 104
 
7.6%
0 78
 
5.7%
3 68
 
5.0%
4 67
 
4.9%
- 50
 
3.7%
6 47
 
3.4%
7 42
 
3.1%
8 40
 
2.9%
Other values (2) 72
 
5.3%
Hangul
ValueCountFrequency (%)
주 304
 
9.8%
제 301
 
9.7%
도 205
 
6.6%
시 194
 
6.3%
자 192
 
6.2%
별 191
 
6.2%
치 191
 
6.2%
특 191
 
6.2%
로 136
 
4.4%
서 107
 
3.5%
Other values (135) 1078
34.9%

제주국제컨벤션센터 1층
Text

Distinct172
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:15:45.626139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length20
Mean length8.3718593
Min length2

Characters and Unicode

Total characters1666
Distinct characters314
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

Unique155 ?
Unique (%)77.9%

Sample

1st row제주목관아 경내 및 북초등학교 운동장
2nd row제주관광대학교 컨벤션홀
3rd row구좌종합운동장
4th row제주돌문화공원
5th row해비치호텔앤리조트
ValueCountFrequency (%)
일원 11
 
3.5%
한림공원 8
 
2.6%
제주국제컨벤션센터 5
 
1.6%
휴애리 4
 
1.3%
서귀포시 4
 
1.3%
및 4
 
1.3%
자연생활공원 4
 
1.3%
제주민속촌 4
 
1.3%
마노르블랑 3
 
1.0%
산지천 3
 
1.0%
Other values (218) 262
84.0%
2023-12-10T15:15:46.218365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
7.0%
제 75
 
4.5%
주 64
 
3.8%
원 51
 
3.1%
공 37
 
2.2%
리 30
 
1.8%
장 30
 
1.8%
일 28
 
1.7%
관 24
 
1.4%
터 20
 
1.2%
Other values (304) 1190
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1487
89.3%
Space Separator 117
 
7.0%
Decimal Number 35
 
2.1%
Uppercase Letter 12
 
0.7%
Other Punctuation 10
 
0.6%
Dash Punctuation 4
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 75
 
5.0%
주 64
 
4.3%
원 51
 
3.4%
공 37
 
2.5%
리 30
 
2.0%
장 30
 
2.0%
일 28
 
1.9%
관 24
 
1.6%
터 20
 
1.3%
대 19
 
1.3%
Other values (283) 1109
74.6%
Decimal Number
ValueCountFrequency (%)
2 9
25.7%
1 6
17.1%
0 4
11.4%
4 3
 
8.6%
9 3
 
8.6%
3 3
 
8.6%
6 3
 
8.6%
7 2
 
5.7%
8 2
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
C 3
25.0%
I 2
16.7%
J 2
16.7%
U 1
 
8.3%
E 1
 
8.3%
G 1
 
8.3%
S 1
 
8.3%
M 1
 
8.3%
Space Separator
ValueCountFrequency (%)
117
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1487
89.3%
Common 166
 
10.0%
Latin 13
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 75
 
5.0%
주 64
 
4.3%
원 51
 
3.4%
공 37
 
2.5%
리 30
 
2.0%
장 30
 
2.0%
일 28
 
1.9%
관 24
 
1.6%
터 20
 
1.3%
대 19
 
1.3%
Other values (283) 1109
74.6%
Common
ValueCountFrequency (%)
117
70.5%
/ 10
 
6.0%
2 9
 
5.4%
1 6
 
3.6%
- 4
 
2.4%
0 4
 
2.4%
4 3
 
1.8%
9 3
 
1.8%
3 3
 
1.8%
6 3
 
1.8%
Other values (2) 4
 
2.4%
Latin
ValueCountFrequency (%)
C 3
23.1%
I 2
15.4%
J 2
15.4%
U 1
 
7.7%
E 1
 
7.7%
k 1
 
7.7%
G 1
 
7.7%
S 1
 
7.7%
M 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1487
89.3%
ASCII 179
 
10.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
65.4%
/ 10
 
5.6%
2 9
 
5.0%
1 6
 
3.4%
- 4
 
2.2%
0 4
 
2.2%
4 3
 
1.7%
9 3
 
1.7%
3 3
 
1.7%
6 3
 
1.7%
Other values (11) 17
 
9.5%
Hangul
ValueCountFrequency (%)
제 75
 
5.0%
주 64
 
4.3%
원 51
 
3.4%
공 37
 
2.5%
리 30
 
2.0%
장 30
 
2.0%
일 28
 
1.9%
관 24
 
1.6%
터 20
 
1.3%
대 19
 
1.3%
Other values (283) 1109
74.6%

33.4856033
Real number (ℝ)

Distinct145
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.391476
Minimum33.166229
Maximum33.963716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:46.430611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.166229
5-th percentile33.239216
Q133.282887
median33.397441
Q333.495418
95-th percentile33.526174
Maximum33.963716
Range0.7974877
Interquartile range (IQR)0.21253155

Descriptive statistics

Standard deviation0.11583099
Coefficient of variation (CV)0.003468879
Kurtosis1.2299293
Mean33.391476
Median Absolute Deviation (MAD)0.1028372
Skewness0.43370271
Sum6644.9038
Variance0.013416818
MonotonicityNot monotonic
2023-12-10T15:15:46.691920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.3902249 8
 
4.0%
33.2412896 6
 
3.0%
33.3212871 4
 
2.0%
33.3085348 4
 
2.0%
33.5059365 3
 
1.5%
33.4961966 3
 
1.5%
33.4751044 3
 
1.5%
33.2474055 3
 
1.5%
33.2434634 3
 
1.5%
33.2542186 3
 
1.5%
Other values (135) 159
79.9%
ValueCountFrequency (%)
33.1662285 1
0.5%
33.222619 1
0.5%
33.2322643 2
1.0%
33.2355498 1
0.5%
33.2360847 2
1.0%
33.2366858 1
0.5%
33.2370176 1
0.5%
33.2392012 1
0.5%
33.239218 1
0.5%
33.2412109 1
0.5%
ValueCountFrequency (%)
33.9637162 1
0.5%
33.5631896 1
0.5%
33.5551855 1
0.5%
33.5470704 1
0.5%
33.5440095 2
1.0%
33.5407651 1
0.5%
33.5344085 2
1.0%
33.5276963 1
0.5%
33.5260048 1
0.5%
33.5259533 1
0.5%

126.4889053
Real number (ℝ)

Distinct145
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.52497
Minimum126.16256
Maximum126.96026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:15:46.958932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.16256
5-th percentile126.23969
Q1126.41143
median126.5162
Q3126.60767
95-th percentile126.89448
Maximum126.96026
Range0.7977006
Interquartile range (IQR)0.19623655

Descriptive statistics

Standard deviation0.18531936
Coefficient of variation (CV)0.0014646861
Kurtosis-0.25671771
Mean126.52497
Median Absolute Deviation (MAD)0.1047622
Skewness0.46226765
Sum25178.469
Variance0.034343266
MonotonicityNot monotonic
2023-12-10T15:15:47.254782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.2396912 8
 
4.0%
126.4244429 6
 
3.0%
126.8430882 4
 
2.0%
126.6343808 4
 
2.0%
126.4959513 3
 
1.5%
126.4558929 3
 
1.5%
126.5155186 3
 
1.5%
126.5586574 3
 
1.5%
126.5690949 3
 
1.5%
126.4114343 3
 
1.5%
Other values (135) 159
79.9%
ValueCountFrequency (%)
126.162556 1
 
0.5%
126.2235865 1
 
0.5%
126.233393 1
 
0.5%
126.2358186 1
 
0.5%
126.2396912 8
4.0%
126.2443484 1
 
0.5%
126.2539365 1
 
0.5%
126.256998 1
 
0.5%
126.2590294 1
 
0.5%
126.2632381 1
 
0.5%
ValueCountFrequency (%)
126.9602566 1
 
0.5%
126.9529853 1
 
0.5%
126.9368007 1
 
0.5%
126.9264499 1
 
0.5%
126.9233716 1
 
0.5%
126.9181684 3
1.5%
126.8998203 2
1.0%
126.8938902 1
 
0.5%
126.8634256 1
 
0.5%
126.8619338 1
 
0.5%

http://www.lohasjeju.co.kr/index.php
Text

MISSING 

Distinct98
Distinct (%)81.7%
Missing79
Missing (%)39.7%
Memory size1.7 KiB
2023-12-10T15:15:47.640077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length105
Median length48
Mean length33.616667
Min length15

Characters and Unicode

Total characters4034
Distinct characters59
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

Unique87 ?
Unique (%)72.5%

Sample

1st rowhttp://www.jeju.go.kr/mokkwana/index.htm
2nd rowhttp://thepainters.co.kr/kor/
3rd rowhttps://jejumarathon.com/
4th rowhttps://www.jeju.go.kr/jejustonepark/exhibit/festival/plan.htm
5th rowhttps://www.jhaf.or.kr:441/
ValueCountFrequency (%)
https://www.hallimpark.com 8
 
6.7%
https://www.jejuolle.org/trail/kor 4
 
3.3%
http://hueree.com/index.php 4
 
3.3%
https://manorblanc.modoo.at 3
 
2.5%
https://jejufolk.com/index.php 2
 
1.7%
https://www.jeju.go.kr/corona19.jsp 2
 
1.7%
https://www.shinhwaworld.com 2
 
1.7%
http://www.sanghyowon.com 2
 
1.7%
http://blog.naver.com/jjpaf 2
 
1.7%
https://www.bunkerdelumieres.com/home 2
 
1.7%
Other values (88) 89
74.2%
2023-12-10T15:15:48.251732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 398
 
9.9%
t 331
 
8.2%
. 263
 
6.5%
w 251
 
6.2%
o 236
 
5.9%
e 217
 
5.4%
p 178
 
4.4%
h 174
 
4.3%
a 160
 
4.0%
s 149
 
3.7%
Other values (49) 1677
41.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2979
73.8%
Other Punctuation 797
 
19.8%
Decimal Number 182
 
4.5%
Uppercase Letter 38
 
0.9%
Connector Punctuation 14
 
0.3%
Math Symbol 14
 
0.3%
Dash Punctuation 7
 
0.2%
Other Letter 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 331
 
11.1%
w 251
 
8.4%
o 236
 
7.9%
e 217
 
7.3%
p 178
 
6.0%
h 174
 
5.8%
a 160
 
5.4%
s 149
 
5.0%
r 145
 
4.9%
m 124
 
4.2%
Other values (14) 1014
34.0%
Uppercase Letter
ValueCountFrequency (%)
N 6
15.8%
C 6
15.8%
T 6
15.8%
S 5
13.2%
O 3
7.9%
M 2
 
5.3%
I 2
 
5.3%
D 2
 
5.3%
H 2
 
5.3%
Z 1
 
2.6%
Other values (3) 3
7.9%
Decimal Number
ValueCountFrequency (%)
0 98
53.8%
1 25
 
13.7%
2 16
 
8.8%
7 11
 
6.0%
5 8
 
4.4%
9 7
 
3.8%
8 7
 
3.8%
4 5
 
2.7%
3 4
 
2.2%
6 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
/ 398
49.9%
. 263
33.0%
: 121
 
15.2%
? 10
 
1.3%
& 4
 
0.5%
# 1
 
0.1%
Other Letter
ValueCountFrequency (%)
다 1
33.3%
음 1
33.3%
신 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Math Symbol
ValueCountFrequency (%)
= 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3017
74.8%
Common 1014
 
25.1%
Hangul 3
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 331
 
11.0%
w 251
 
8.3%
o 236
 
7.8%
e 217
 
7.2%
p 178
 
5.9%
h 174
 
5.8%
a 160
 
5.3%
s 149
 
4.9%
r 145
 
4.8%
m 124
 
4.1%
Other values (27) 1052
34.9%
Common
ValueCountFrequency (%)
/ 398
39.3%
. 263
25.9%
: 121
 
11.9%
0 98
 
9.7%
1 25
 
2.5%
2 16
 
1.6%
_ 14
 
1.4%
= 14
 
1.4%
7 11
 
1.1%
? 10
 
1.0%
Other values (9) 44
 
4.3%
Hangul
ValueCountFrequency (%)
다 1
33.3%
음 1
33.3%
신 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4031
99.9%
Hangul 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 398
 
9.9%
t 331
 
8.2%
. 263
 
6.5%
w 251
 
6.2%
o 236
 
5.9%
e 217
 
5.4%
p 178
 
4.4%
h 174
 
4.3%
a 160
 
4.0%
s 149
 
3.7%
Other values (46) 1674
41.5%
Hangul
ValueCountFrequency (%)
다 1
33.3%
음 1
33.3%
신 1
33.3%

10:00
Categorical

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
10:00
47 
09:00
32 
11:00
27 
08:30
10 
13:00
10 
Other values (18)
73 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)2.0%

Sample

1st row09:00
2nd row17:00
3rd row09:00
4th row10:00
5th row10:00

Common Values

ValueCountFrequency (%)
10:00 47
23.6%
09:00 32
16.1%
11:00 27
13.6%
08:30 10
 
5.0%
13:00 10
 
5.0%
15:00 8
 
4.0%
00:00 8
 
4.0%
14:00 7
 
3.5%
19:00 7
 
3.5%
17:00 6
 
3.0%
Other values (13) 37
18.6%

Length

2023-12-10T15:15:48.523958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00 47
23.6%
09:00 32
16.1%
11:00 27
13.6%
08:30 10
 
5.0%
13:00 10
 
5.0%
15:00 8
 
4.0%
00:00 8
 
4.0%
14:00 7
 
3.5%
19:00 7
 
3.5%
17:00 6
 
3.0%
Other values (13) 37
18.6%

18:00
Categorical

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
18:00
45 
20:00
22 
21:00
22 
17:00
17 
16:00
15 
Other values (20)
78 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique7 ?
Unique (%)3.5%

Sample

1st row18:00
2nd row17:00
3rd row14:00
4th row21:00
5th row21:00

Common Values

ValueCountFrequency (%)
18:00 45
22.6%
20:00 22
11.1%
21:00 22
11.1%
17:00 17
 
8.5%
16:00 15
 
7.5%
22:00 14
 
7.0%
19:00 14
 
7.0%
00:00 8
 
4.0%
14:00 7
 
3.5%
15:00 6
 
3.0%
Other values (15) 29
14.6%

Length

2023-12-10T15:15:48.766826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 45
22.6%
21:00 22
11.1%
20:00 22
11.1%
17:00 17
 
8.5%
16:00 15
 
7.5%
22:00 14
 
7.0%
19:00 14
 
7.0%
00:00 8
 
4.0%
14:00 7
 
3.5%
15:00 6
 
3.0%
Other values (15) 29
14.6%

Interactions

2023-12-10T15:15:36.191208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:34.532205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:35.050973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:35.572397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:36.355978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:34.666542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:35.168823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:35.723694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:36.482394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:34.762376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:35.291381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:35.873688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:36.638940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:34.903554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:35.436715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:15:36.024031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:15:48.921602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Lohas Exhibition2020080720200809전시회/박람회/체험학습33.4856033126.4889053http://www.lohasjeju.co.kr/index.php10:0018:00
Lohas Exhibition1.0001.0001.0001.0001.0001.0001.0001.0001.000
202008071.0001.0000.9380.0000.0000.0000.8160.0000.000
202008091.0000.9381.0000.8240.1760.0000.9200.4130.000
전시회/박람회/체험학습1.0000.0000.8241.0000.0000.5940.9870.4090.769
33.48560331.0000.0000.1760.0001.0000.6580.9980.6550.233
126.48890531.0000.0000.0000.5940.6581.0001.0000.5860.286
http://www.lohasjeju.co.kr/index.php1.0000.8160.9200.9870.9981.0001.0000.9770.977
10:001.0000.0000.4130.4090.6550.5860.9771.0000.730
18:001.0000.0000.0000.7690.2330.2860.9770.7301.000
2023-12-10T15:15:49.134925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
10:0018:00
10:001.0000.271
18:000.2711.000
2023-12-10T15:15:49.299004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
202008072020080933.4856033126.488905310:0018:00
202008071.0000.971-0.100-0.0620.1040.000
202008090.9711.000-0.100-0.0370.1580.000
33.4856033-0.100-0.1001.0000.2950.3490.098
126.4889053-0.062-0.0370.2951.0000.2500.097
10:000.1040.1580.3490.2501.0000.271
18:000.0000.0000.0980.0970.2711.000

Missing values

2023-12-10T15:15:36.859382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:15:37.187810image/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.
2023-12-10T15:15:37.453382image/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

로하스박람회Lohas Exhibition한라의료재단주최/제주특별자치도관광협회주최/한국로하스협회주최/이용요금5000원-사전등록시무료2020080720200809전시회/박람회/체험학습064-722-3288제주특별자치도 제주시 노연로 80제주국제컨벤션센터 1층33.4856033126.4889053http://www.lohasjeju.co.kr/index.php10:0018:00
0제주목관아 민속놀이마당<NA>제주목관아주최/이용요금무료2020012520200126공연/역사문화체험064-710-6711제주특별자치도 제주시 관덕로 25제주목관아 경내 및 북초등학교 운동장33.514002126.521804http://www.jeju.go.kr/mokkwana/index.htm09:0018:00
1페인터즈:히어로<NA>펜타토닉제주주최/VIP석60000원/S석50000원/A석40000원2020010120201231공연064-745-7848제주특별자치도 제주시 애월읍 평화로 2715제주관광대학교 컨벤션홀33.44748126.434303http://thepainters.co.kr/kor/17:0017:00
2제주국제관광마라톤축제JEJUMARATHON제주특별자치도주최/제주특별자치도관광협회주관/Full-Half코스30000원/일반-워킹코스20000원2020090620200906마라톤축제064-742-8861제주특별자치도 제주시 구좌읍 김녕로 209구좌종합운동장33.555186126.762746https://jejumarathon.com/09:0014:00
3제주설문대할말페스티벌<NA>제주특별자치도주최/제주돌문화공원소주관/이용요금무료2019050120190531역사문화체험064-710-7731제주특별자치도 제주시 조천읍 남조로 2023제주돌문화공원33.451365126.656711https://www.jeju.go.kr/jejustonepark/exhibit/festival/plan.htm10:0021:00
4제주해비치아트페스티벌<NA>한묵문화예술회관연합회주최/제주특별자치도주최/한국문화예술위원회주최/이용요금홈페이지참고2020082420200827공연/예술/전시02-3019-5861제주특별자치도 서귀포시 표선면 민속해안로 537해비치호텔앤리조트33.323043126.844193https://www.jhaf.or.kr:441/10:0021:00
5설낭멩질먹엉갑써<NA>제주민속촌주최/성인11000원/청소년8000원/어린이7000원/도민30%할인2020012420200127공연/역사문화체험064-787-4501제주특별자치도 서귀포시 표선면 민속해안로 631-34제주민속촌33.321287126.843088https://jejufolk.com/pages.php?url=news10:0016:00
6허브동산 별빛놀이<NA>제주허브동산주최/성인12000원/청소년10000원/어린이9000원/경로10000원/황금족욕체험12000원2020010120201231공연/별빛축제064-787-7362제주특별자치도 서귀포시 표선면 돈오름로 170제주허브동산파크내33.329124126.814726http://www.herbdongsan.com/09:0022:00
7제주감귤박람회<NA>제주특별자치도주최/제주국제감귤박람회조직위원회주관/이용요금1000원2019110820191112박람회/체험학습064-710-3092제주특별자치도 서귀포시 남원읍 중산간동로 7415서귀포농업기술센터33.287445126.607913http://www.jicexpo.com/09:0017:00
8제주유리의성 별빛축제<NA>유리의성주최/성인11000원/청소년9000원/어린이(36개월~초등학생)8000원2019122120200119공연/예술/전시064-772-7777제주특별자치도 제주시 한경면 녹차분재로 462유리의성33.314634126.273662http://www.jejuglasscastle.com/18:0021:00
9한림공원 연꽃축제<NA>한림공원주최/한림공원주관/성인12000원2019070520190825축제064-796-0001제주특별자치도 제주시 한림읍 한림로 300 한림공원한림공원 연못정원일대33.390225126.239691https://www.hallimpark.com/08:3017:00
로하스박람회Lohas Exhibition한라의료재단주최/제주특별자치도관광협회주최/한국로하스협회주최/이용요금5000원-사전등록시무료2020080720200809전시회/박람회/체험학습064-722-3288제주특별자치도 제주시 노연로 80제주국제컨벤션센터 1층33.4856033126.4889053http://www.lohasjeju.co.kr/index.php10:0018:00
189제주신화등축제<NA>서귀포시주최/예래생태문화마을위원회주관/이용요금무료2018110920181111축제064-738-6613제주특별자치도 서귀포시 하예동예래생태체험관33.241211126.378717<NA>11:3022:00
190JeFF제주 플린지 페스티벌<NA>제주특별자치도주최2018110320181104공연/전시064-758-0331제주특별자치도 제주시 일도2동 879신산공원33.505915126.534893http://blog.naver.com/jjpaf13:0019:00
191제주한류페스티벌<NA>한국매니지먼트연합주최/제주한라엔터테인먼트주관2018110420181104공연<NA>제주특별자치도 제주시 오라일동 3817-2제주종합경기장33.494426126.513951https://jejuhallyufestival.org/16:0020:00
192제주 드론필름페스티벌<NA>JIBS주최/JDFF주관2018110220181104전시064-800-2000제주특별자치도 서귀포시 안덕면 녹차분재로 218제주항공우주박물관33.304207126.299661https://jejudronefilmfestival.com/10:0018:00
193제주창작음악회<NA>첼로앙상블 연주2018120120181201공연010-9917-0323제주특별자치도 제주시 오남로 231제주아트센터33.475104126.515519<NA>17:0020:00
194더희망제주-깡통열차<NA>참가비2000원/깡통열차 체험2018110320181103체험<NA>제주특별자치도 서귀포시 말질로 428카페스르륵앞33.232264126.46326<NA>09:0011:00
195나만의부채캘리<NA>참가비무료/부채만들기2018110320181103체험<NA>제주특별자치도 서귀포시 말질로 428카페스르륵앞33.232264126.46326<NA>09:0011:00
196제주어 머그컵 및 석고방향제 만들기<NA>참가비2000원/머그컵만들기/석고방향제만들기2018110320181103체험<NA>제주 서귀포시 막숙포로 70-1법환동 청소년 문화회관33.23555126.514128<NA>11:0015:00
197전통테왁 전시·체험<NA>참가비15000원/구매20000원/테왁만들기2018110320181103체험<NA>제주 서귀포시 막숙포로 60법환동 제스토리 앞마당33.236085126.514923<NA>11:0015:00
198국제폴로경기대회<NA>제7회 제주국제폴로대회/경품/이용요금무료/음료맥주무료제공2018101320181014대회<NA>제주특별자치도 제주시 구좌읍 월행남길 322-30제주국제폴로경기장33.525953126.781339<NA>15:3017:30