Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory966.8 KiB
Average record size in memory99.0 B

Variable types

Numeric3
Text2
Boolean1
DateTime3
Categorical2

Dataset

Description제주관광정보시스템(VISITJEJU)의 여행세부일정 데이터로 일련번호, 여행일정타이틀, 콘텐츠명, 대표일정여부, 여행일자 등의 정보를 제공합니다.
Author제주관광공사
URLhttps://www.data.go.kr/data/15049994/fileData.do

Alerts

일련번호 is highly overall correlated with 여행일정아이디High correlation
여행일정아이디 is highly overall correlated with 일련번호High correlation
대표일정여부 is highly imbalanced (63.5%)Imbalance
장소구분 is highly imbalanced (99.9%)Imbalance
일련번호 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:10:54.593754
Analysis finished2024-03-23 05:11:04.841646
Duration10.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77564.624
Minimum695
Maximum189095
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T05:11:05.187156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum695
5-th percentile17428.75
Q144133.75
median77246.5
Q3110824.75
95-th percentile137451.1
Maximum189095
Range188400
Interquartile range (IQR)66691

Descriptive statistics

Standard deviation39496.866
Coefficient of variation (CV)0.50921237
Kurtosis-0.78097365
Mean77564.624
Median Absolute Deviation (MAD)33347
Skewness0.10896603
Sum7.7564624 × 108
Variance1.5600024 × 109
MonotonicityNot monotonic
2024-03-23T05:11:05.842217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23569 1
 
< 0.1%
91843 1
 
< 0.1%
98103 1
 
< 0.1%
86948 1
 
< 0.1%
49606 1
 
< 0.1%
125548 1
 
< 0.1%
140200 1
 
< 0.1%
58369 1
 
< 0.1%
11541 1
 
< 0.1%
92327 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
695 1
< 0.1%
697 1
< 0.1%
899 1
< 0.1%
1221 1
< 0.1%
1259 1
< 0.1%
1280 1
< 0.1%
1284 1
< 0.1%
1285 1
< 0.1%
1289 1
< 0.1%
1473 1
< 0.1%
ValueCountFrequency (%)
189095 1
< 0.1%
188900 1
< 0.1%
188896 1
< 0.1%
188895 1
< 0.1%
188893 1
< 0.1%
188853 1
< 0.1%
188659 1
< 0.1%
188651 1
< 0.1%
188650 1
< 0.1%
188647 1
< 0.1%

여행일정아이디
Real number (ℝ)

HIGH CORRELATION 

Distinct4136
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10156.216
Minimum484
Maximum22519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T05:11:06.255892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum484
5-th percentile3477
Q16084
median10201
Q314013
95-th percentile17130
Maximum22519
Range22035
Interquartile range (IQR)7929

Descriptive statistics

Standard deviation4566.3669
Coefficient of variation (CV)0.44961299
Kurtosis-0.83419681
Mean10156.216
Median Absolute Deviation (MAD)3922
Skewness0.090627233
Sum1.0156216 × 108
Variance20851706
MonotonicityNot monotonic
2024-03-23T05:11:06.721154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5921 50
 
0.5%
12119 33
 
0.3%
5680 31
 
0.3%
14434 31
 
0.3%
10106 30
 
0.3%
8109 27
 
0.3%
6549 27
 
0.3%
3949 26
 
0.3%
15251 21
 
0.2%
4835 20
 
0.2%
Other values (4126) 9704
97.0%
ValueCountFrequency (%)
484 1
 
< 0.1%
485 1
 
< 0.1%
647 1
 
< 0.1%
727 1
 
< 0.1%
728 1
 
< 0.1%
736 3
< 0.1%
738 1
 
< 0.1%
739 1
 
< 0.1%
744 1
 
< 0.1%
747 1
 
< 0.1%
ValueCountFrequency (%)
22519 1
 
< 0.1%
22498 4
< 0.1%
22472 1
 
< 0.1%
22470 4
< 0.1%
22440 2
< 0.1%
22425 2
< 0.1%
22424 1
 
< 0.1%
22422 2
< 0.1%
22420 4
< 0.1%
22418 2
< 0.1%
Distinct2529
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T05:11:07.752027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length9.2281
Min length1

Characters and Unicode

Total characters92281
Distinct characters925
Distinct categories14 ?
Distinct scripts6 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique978 ?
Unique (%)9.8%

Sample

1st row제주여행2 8월
2nd row커플여행
3rd row3박 4일 제주 여행
4th row가족여행 어른만
5th row4박 5일
ValueCountFrequency (%)
여행 1493
 
6.5%
제주여행 1098
 
4.8%
제주 864
 
3.8%
가족여행 714
 
3.1%
3박 567
 
2.5%
4일 555
 
2.4%
2박3일 521
 
2.3%
3박4일 434
 
1.9%
제주도 424
 
1.9%
jeju 385
 
1.7%
Other values (2460) 15753
69.1%
2024-03-23T05:11:09.259066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13065
 
14.2%
5044
 
5.5%
4710
 
5.1%
3482
 
3.8%
3317
 
3.6%
2797
 
3.0%
2558
 
2.8%
3 2298
 
2.5%
2295
 
2.5%
2 1881
 
2.0%
Other values (915) 50834
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55553
60.2%
Space Separator 13116
 
14.2%
Lowercase Letter 10179
 
11.0%
Decimal Number 9618
 
10.4%
Uppercase Letter 1764
 
1.9%
Other Punctuation 1218
 
1.3%
Close Punctuation 186
 
0.2%
Open Punctuation 175
 
0.2%
Math Symbol 175
 
0.2%
Dash Punctuation 115
 
0.1%
Other values (4) 182
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5044
 
9.1%
4710
 
8.5%
3482
 
6.3%
3317
 
6.0%
2797
 
5.0%
2558
 
4.6%
2295
 
4.1%
1577
 
2.8%
1078
 
1.9%
673
 
1.2%
Other values (817) 28022
50.4%
Lowercase Letter
ValueCountFrequency (%)
i 1069
 
10.5%
e 935
 
9.2%
t 907
 
8.9%
s 790
 
7.8%
r 717
 
7.0%
a 682
 
6.7%
n 632
 
6.2%
u 538
 
5.3%
p 476
 
4.7%
j 463
 
4.5%
Other values (16) 2970
29.2%
Uppercase Letter
ValueCountFrequency (%)
J 459
26.0%
T 178
 
10.1%
S 118
 
6.7%
N 114
 
6.5%
M 102
 
5.8%
D 101
 
5.7%
U 95
 
5.4%
E 82
 
4.6%
O 78
 
4.4%
A 75
 
4.3%
Other values (14) 362
20.5%
Other Punctuation
ValueCountFrequency (%)
? 406
33.3%
! 262
21.5%
. 220
18.1%
, 112
 
9.2%
/ 96
 
7.9%
& 44
 
3.6%
' 36
 
3.0%
: 12
 
1.0%
# 10
 
0.8%
* 9
 
0.7%
Other values (4) 11
 
0.9%
Decimal Number
ValueCountFrequency (%)
3 2298
23.9%
2 1881
19.6%
4 1803
18.7%
1 1153
12.0%
0 781
 
8.1%
5 668
 
6.9%
8 307
 
3.2%
6 265
 
2.8%
9 257
 
2.7%
7 193
 
2.0%
Other values (3) 12
 
0.1%
Other Symbol
ValueCountFrequency (%)
56
61.5%
32
35.2%
1
 
1.1%
1
 
1.1%
1
 
1.1%
Math Symbol
ValueCountFrequency (%)
~ 154
88.0%
+ 15
 
8.6%
> 3
 
1.7%
< 3
 
1.7%
Close Punctuation
ValueCountFrequency (%)
) 166
89.2%
13
 
7.0%
] 7
 
3.8%
Open Punctuation
ValueCountFrequency (%)
( 155
88.6%
13
 
7.4%
[ 7
 
4.0%
Space Separator
ValueCountFrequency (%)
13065
99.6%
  51
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 46
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 42
100.0%
Other Number
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54327
58.9%
Common 24785
26.9%
Latin 11943
 
12.9%
Han 981
 
1.1%
Hiragana 185
 
0.2%
Katakana 60
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5044
 
9.3%
4710
 
8.7%
3482
 
6.4%
3317
 
6.1%
2797
 
5.1%
2558
 
4.7%
2295
 
4.2%
1577
 
2.9%
1078
 
2.0%
673
 
1.2%
Other values (656) 26796
49.3%
Han
ValueCountFrequency (%)
160
 
16.3%
87
 
8.9%
52
 
5.3%
44
 
4.5%
37
 
3.8%
31
 
3.2%
31
 
3.2%
29
 
3.0%
27
 
2.8%
26
 
2.7%
Other values (97) 457
46.6%
Latin
ValueCountFrequency (%)
i 1069
 
9.0%
e 935
 
7.8%
t 907
 
7.6%
s 790
 
6.6%
r 717
 
6.0%
a 682
 
5.7%
n 632
 
5.3%
u 538
 
4.5%
p 476
 
4.0%
j 463
 
3.9%
Other values (40) 4734
39.6%
Common
ValueCountFrequency (%)
13065
52.7%
3 2298
 
9.3%
2 1881
 
7.6%
4 1803
 
7.3%
1 1153
 
4.7%
0 781
 
3.2%
5 668
 
2.7%
? 406
 
1.6%
8 307
 
1.2%
6 265
 
1.1%
Other values (38) 2158
 
8.7%
Hiragana
ValueCountFrequency (%)
32
17.3%
22
11.9%
22
11.9%
12
 
6.5%
10
 
5.4%
10
 
5.4%
9
 
4.9%
9
 
4.9%
7
 
3.8%
5
 
2.7%
Other values (17) 47
25.4%
Katakana
ValueCountFrequency (%)
5
 
8.3%
4
 
6.7%
4
 
6.7%
4
 
6.7%
4
 
6.7%
4
 
6.7%
4
 
6.7%
3
 
5.0%
3
 
5.0%
3
 
5.0%
Other values (17) 22
36.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53841
58.3%
ASCII 36538
39.6%
CJK 981
 
1.1%
Compat Jamo 486
 
0.5%
Hiragana 185
 
0.2%
None 96
 
0.1%
Misc Symbols 90
 
0.1%
Katakana 60
 
0.1%
Enclosed Alphanum 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13065
35.8%
3 2298
 
6.3%
2 1881
 
5.1%
4 1803
 
4.9%
1 1153
 
3.2%
i 1069
 
2.9%
e 935
 
2.6%
t 907
 
2.5%
s 790
 
2.2%
0 781
 
2.1%
Other values (74) 11856
32.4%
Hangul
ValueCountFrequency (%)
5044
 
9.4%
4710
 
8.7%
3482
 
6.5%
3317
 
6.2%
2797
 
5.2%
2558
 
4.8%
2295
 
4.3%
1577
 
2.9%
1078
 
2.0%
673
 
1.2%
Other values (633) 26310
48.9%
CJK
ValueCountFrequency (%)
160
 
16.3%
87
 
8.9%
52
 
5.3%
44
 
4.5%
37
 
3.8%
31
 
3.2%
31
 
3.2%
29
 
3.0%
27
 
2.8%
26
 
2.7%
Other values (97) 457
46.6%
Compat Jamo
ValueCountFrequency (%)
133
27.4%
49
 
10.1%
44
 
9.1%
43
 
8.8%
32
 
6.6%
32
 
6.6%
30
 
6.2%
29
 
6.0%
22
 
4.5%
10
 
2.1%
Other values (13) 62
12.8%
Misc Symbols
ValueCountFrequency (%)
56
62.2%
32
35.6%
1
 
1.1%
1
 
1.1%
None
ValueCountFrequency (%)
  51
53.1%
13
 
13.5%
13
 
13.5%
6
 
6.2%
5
 
5.2%
4
 
4.2%
3
 
3.1%
1
 
1.0%
Hiragana
ValueCountFrequency (%)
32
17.3%
22
11.9%
22
11.9%
12
 
6.5%
10
 
5.4%
10
 
5.4%
9
 
4.9%
9
 
4.9%
7
 
3.8%
5
 
2.7%
Other values (17) 47
25.4%
Katakana
ValueCountFrequency (%)
5
 
8.3%
4
 
6.7%
4
 
6.7%
4
 
6.7%
4
 
6.7%
4
 
6.7%
4
 
6.7%
3
 
5.0%
3
 
5.0%
3
 
5.0%
Other values (17) 22
36.7%
Enclosed Alphanum
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Distinct1256
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T05:11:10.336888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length7.1387
Min length2

Characters and Unicode

Total characters71387
Distinct characters699
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique481 ?
Unique (%)4.8%

Sample

1st row현옥식당
2nd row싱계물 공원
3rd row중문관광단지
4th row곶자왈
5th row용눈이오름
ValueCountFrequency (%)
제주국제공항 628
 
5.1%
제주 294
 
2.4%
세계자연유산 292
 
2.4%
성산일출봉(unesco 261
 
2.1%
섭지코지 212
 
1.7%
우도(해양도립공원 186
 
1.5%
오설록티뮤지엄 174
 
1.4%
동문재래시장 174
 
1.4%
협재해수욕장 160
 
1.3%
천지연폭포 160
 
1.3%
Other values (1481) 9712
79.3%
2024-03-23T05:11:12.178369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2702
 
3.8%
2282
 
3.2%
2221
 
3.1%
1828
 
2.6%
1469
 
2.1%
1352
 
1.9%
1311
 
1.8%
1287
 
1.8%
1165
 
1.6%
( 1072
 
1.5%
Other values (689) 54698
76.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63768
89.3%
Space Separator 2282
 
3.2%
Uppercase Letter 2084
 
2.9%
Open Punctuation 1106
 
1.5%
Close Punctuation 1106
 
1.5%
Decimal Number 407
 
0.6%
Lowercase Letter 393
 
0.6%
Other Punctuation 169
 
0.2%
Dash Punctuation 30
 
< 0.1%
Connector Punctuation 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2702
 
4.2%
2221
 
3.5%
1828
 
2.9%
1469
 
2.3%
1352
 
2.1%
1311
 
2.1%
1287
 
2.0%
1165
 
1.8%
947
 
1.5%
911
 
1.4%
Other values (623) 48575
76.2%
Lowercase Letter
ValueCountFrequency (%)
o 55
14.0%
e 45
11.5%
a 40
10.2%
l 37
9.4%
d 30
 
7.6%
i 26
 
6.6%
u 25
 
6.4%
m 20
 
5.1%
w 16
 
4.1%
s 15
 
3.8%
Other values (12) 84
21.4%
Uppercase Letter
ValueCountFrequency (%)
E 325
15.6%
S 319
15.3%
O 319
15.3%
U 308
14.8%
C 295
14.2%
N 292
14.0%
H 43
 
2.1%
A 42
 
2.0%
L 41
 
2.0%
B 20
 
1.0%
Other values (10) 80
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 117
28.7%
9 56
13.8%
0 54
13.3%
4 35
 
8.6%
3 34
 
8.4%
7 29
 
7.1%
2 24
 
5.9%
8 23
 
5.7%
6 19
 
4.7%
5 16
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 56
33.1%
, 37
21.9%
& 31
18.3%
/ 28
16.6%
' 10
 
5.9%
· 7
 
4.1%
Open Punctuation
ValueCountFrequency (%)
( 1072
96.9%
[ 34
 
3.1%
Close Punctuation
ValueCountFrequency (%)
) 1072
96.9%
] 34
 
3.1%
Space Separator
ValueCountFrequency (%)
2282
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63753
89.3%
Common 5142
 
7.2%
Latin 2477
 
3.5%
Han 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2702
 
4.2%
2221
 
3.5%
1828
 
2.9%
1469
 
2.3%
1352
 
2.1%
1311
 
2.1%
1287
 
2.0%
1165
 
1.8%
947
 
1.5%
911
 
1.4%
Other values (617) 48560
76.2%
Latin
ValueCountFrequency (%)
E 325
13.1%
S 319
12.9%
O 319
12.9%
U 308
12.4%
C 295
11.9%
N 292
11.8%
o 55
 
2.2%
e 45
 
1.8%
H 43
 
1.7%
A 42
 
1.7%
Other values (32) 434
17.5%
Common
ValueCountFrequency (%)
2282
44.4%
( 1072
20.8%
) 1072
20.8%
1 117
 
2.3%
. 56
 
1.1%
9 56
 
1.1%
0 54
 
1.1%
, 37
 
0.7%
4 35
 
0.7%
3 34
 
0.7%
Other values (14) 327
 
6.4%
Han
ValueCountFrequency (%)
4
26.7%
4
26.7%
4
26.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63753
89.3%
ASCII 7612
 
10.7%
CJK 15
 
< 0.1%
None 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2702
 
4.2%
2221
 
3.5%
1828
 
2.9%
1469
 
2.3%
1352
 
2.1%
1311
 
2.1%
1287
 
2.0%
1165
 
1.8%
947
 
1.5%
911
 
1.4%
Other values (617) 48560
76.2%
ASCII
ValueCountFrequency (%)
2282
30.0%
( 1072
14.1%
) 1072
14.1%
E 325
 
4.3%
S 319
 
4.2%
O 319
 
4.2%
U 308
 
4.0%
C 295
 
3.9%
N 292
 
3.8%
1 117
 
1.5%
Other values (55) 1211
15.9%
None
ValueCountFrequency (%)
· 7
100.0%
CJK
ValueCountFrequency (%)
4
26.7%
4
26.7%
4
26.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%

대표일정여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9303 
True
 
697
ValueCountFrequency (%)
False 9303
93.0%
True 697
 
7.0%
2024-03-23T05:11:12.618052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

여행일수
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2521
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T05:11:13.276958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum15
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3421348
Coefficient of variation (CV)0.59594812
Kurtosis5.891045
Mean2.2521
Median Absolute Deviation (MAD)1
Skewness1.7042812
Sum22521
Variance1.8013257
MonotonicityNot monotonic
2024-03-23T05:11:13.728810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 3488
34.9%
2 3041
30.4%
3 1990
19.9%
4 893
 
8.9%
5 352
 
3.5%
6 128
 
1.3%
7 47
 
0.5%
8 31
 
0.3%
9 18
 
0.2%
10 4
 
< 0.1%
Other values (3) 8
 
0.1%
ValueCountFrequency (%)
1 3488
34.9%
2 3041
30.4%
3 1990
19.9%
4 893
 
8.9%
5 352
 
3.5%
6 128
 
1.3%
7 47
 
0.5%
8 31
 
0.3%
9 18
 
0.2%
10 4
 
< 0.1%
ValueCountFrequency (%)
15 3
 
< 0.1%
13 1
 
< 0.1%
11 4
 
< 0.1%
10 4
 
< 0.1%
9 18
 
0.2%
8 31
 
0.3%
7 47
 
0.5%
6 128
 
1.3%
5 352
 
3.5%
4 893
8.9%
Distinct51
Distinct (%)0.5%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
Minimum2024-03-23 00:00:00
Maximum2024-03-23 23:00:00
2024-03-23T05:11:14.227834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:11:14.794314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료시간
Categorical

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
10:00
849 
14:00
766 
13:00
755 
15:00
747 
11:00
733 
Other values (15)
6150 

Length

Max length5
Median length5
Mean length4.9675
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18:00
2nd row08:00
3rd row21:00
4th row18:00
5th row14:00

Common Values

ValueCountFrequency (%)
10:00 849
 
8.5%
14:00 766
 
7.7%
13:00 755
 
7.5%
15:00 747
 
7.5%
11:00 733
 
7.3%
12:00 721
 
7.2%
17:00 714
 
7.1%
16:00 712
 
7.1%
09:00 680
 
6.8%
18:00 635
 
6.3%
Other values (10) 2688
26.9%

Length

2024-03-23T05:11:15.446107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00 849
 
8.5%
14:00 766
 
7.7%
13:00 755
 
7.5%
15:00 747
 
7.5%
11:00 733
 
7.3%
12:00 721
 
7.2%
17:00 714
 
7.1%
16:00 712
 
7.1%
09:00 680
 
6.8%
18:00 635
 
6.3%
Other values (10) 2688
26.9%

장소구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
콘텐츠
9999 
장소
 
1

Length

Max length3
Median length3
Mean length2.9999
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
콘텐츠 9999
> 99.9%
장소 1
 
< 0.1%

Length

2024-03-23T05:11:16.008436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:11:16.288249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
콘텐츠 9999
> 99.9%
장소 1
 
< 0.1%
Distinct1149
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-04-13 00:00:00
Maximum2023-09-25 00:00:00
2024-03-23T05:11:16.644613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:11:17.232365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1153
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-04-13 00:00:00
Maximum2023-09-29 00:00:00
2024-03-23T05:11:17.796880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:11:18.369431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-23T05:11:02.624452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:11:00.012786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:11:01.308466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:11:02.984335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:11:00.428795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:11:01.904225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:11:03.332360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:11:00.854011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T05:11:02.249336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T05:11:18.735072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호여행일정아이디대표일정여부여행일수시작시간종료시간장소구분
일련번호1.0000.9760.0200.1090.3930.0550.000
여행일정아이디0.9761.0000.0390.1140.5320.0300.000
대표일정여부0.0200.0391.0000.1210.1490.1220.000
여행일수0.1090.1140.1211.0000.1270.1570.000
시작시간0.3930.5320.1490.1271.0001.0000.000
종료시간0.0550.0300.1220.1571.0001.0000.000
장소구분0.0000.0000.0000.0000.0000.0001.000
2024-03-23T05:11:19.151837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소구분대표일정여부종료시간
장소구분1.0000.0000.000
대표일정여부0.0001.0000.108
종료시간0.0000.1081.000
2024-03-23T05:11:19.491716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호여행일정아이디여행일수대표일정여부종료시간장소구분
일련번호1.0001.0000.0290.0150.0200.000
여행일정아이디1.0001.0000.0270.0300.0110.000
여행일수0.0290.0271.0000.0930.0600.000
대표일정여부0.0150.0300.0931.0000.1080.000
종료시간0.0200.0110.0600.1081.0000.000
장소구분0.0000.0000.0000.0000.0001.000

Missing values

2024-03-23T05:11:03.843546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T05:11:04.563750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

일련번호여행일정아이디여행일정타이틀콘텐츠명대표일정여부여행일수시작시간종료시간장소구분등록일시수정일시
11610235694075제주여행2 8월현옥식당n118:0018:00콘텐츠2018-06-282018-06-28
22008439256170커플여행싱계물 공원n208:0008:00콘텐츠2018-10-092018-10-11
91824133438166663박 4일 제주 여행중문관광단지n221:0021:00콘텐츠2021-06-242021-06-24
9190814181117696가족여행 어른만곶자왈n118:0018:00콘텐츠2021-12-062021-12-06
583598423196764박 5일용눈이오름n414:0014:00콘텐츠2019-08-212019-08-21
6561810513713238Jeju places to visit제주동백수목원n123:0023:00콘텐츠2020-02-042020-02-04
17975294244705아이와 함께 가는 동부여행제주국제공항n317:0017:00콘텐츠2018-07-192018-07-19
78995113057142628월19부터월정리해변n212:0012:00콘텐츠2020-08-092020-08-09
2276542066599622소인국테마파크n407:0007:00콘텐츠2018-09-272018-10-01
77910187623223782023 여름 제주 여행함덕해수욕장n420:0020:00콘텐츠2023-08-272023-08-27
일련번호여행일정아이디여행일정타이틀콘텐츠명대표일정여부여행일수시작시간종료시간장소구분등록일시수정일시
6146390423107333박4일가족여행제주커피박물관 바움 Baumn117:0017:00콘텐츠2019-09-282019-09-28
2736120442410신나는 제주여행~!곽지해수욕장n100:00<NA>콘텐츠2018-04-132018-04-13
9516312565015772동남지역 뚜벅이 여행아서원n311:0011:00콘텐츠2021-04-032021-04-03
628178485711068ㄹㅁ월정 투명카약n213:0013:00콘텐츠2019-08-252019-08-25
8616012614715820제주봄향기닭머르해안길n111:0011:00콘텐츠2021-04-082021-04-14
45646726479748부모님과여행섭지코지n419:0019:00콘텐츠2019-06-202019-06-20
6811996297122563박4일 가족여행스위트호텔 제주n218:0018:00콘텐츠2019-11-162019-11-16
42334522397108TV속 맛집 탐방!과오름(큰오름, 샛오름, 말젯오름)n610:0010:00콘텐츠2018-12-202018-12-20
488499219811830부모님 아이와 함께하는 여행자구리공원n414:0014:00콘텐츠2019-10-112019-10-11
34059606138167초등학생 어린이 맞춤 여행파파월드n216:0016:00콘텐츠2019-02-232019-02-23