Overview

Dataset statistics

Number of variables24
Number of observations200
Missing cells393
Missing cells (%)8.2%
Duplicate rows16
Duplicate rows (%)8.0%
Total size in memory40.6 KiB
Average record size in memory207.7 B

Variable types

Text4
Categorical9
Unsupported1
DateTime1
Numeric9

Dataset

DescriptionSample
Author(주)넥스트이지
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=NXESTAYNGRESV0000000

Alerts

Dataset has 16 (8.0%) duplicate rowsDuplicates
소아인원갯수 is highly imbalanced (62.1%)Imbalance
유아인원갯수 is highly imbalanced (86.5%)Imbalance
결제수단명 is highly imbalanced (61.6%)Imbalance
이용자연령대코드 is highly imbalanced (88.8%)Imbalance
이용자성별코드 is highly imbalanced (88.8%)Imbalance
이용자광역시도코드 has 200 (100.0%) missing valuesMissing
숙박테마명 has 193 (96.5%) missing valuesMissing
이용자광역시도코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 06:18:42.735289
Analysis finished2023-12-10 06:18:43.607755
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

숙박명
Text

Distinct93
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:18:43.881575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.415
Min length3

Characters and Unicode

Total characters1483
Distinct characters195
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

Unique46 ?
Unique (%)23.0%

Sample

1st row라마다앙코르 바이 윈덤서귀포이스트호텔
2nd row라마다앙코르 바이 윈덤서귀포이스트호텔
3rd row더포그레이스리조트
4th row밸류호텔 서귀포JS
5th row해호텔
ValueCountFrequency (%)
호텔 17
 
6.1%
파인힐호텔 11
 
4.0%
서귀포 10
 
3.6%
제주 8
 
2.9%
해호텔 8
 
2.9%
산방산에펜션 6
 
2.2%
레슬리호텔 6
 
2.2%
더포그레이스리조트 6
 
2.2%
알레그리아 6
 
2.2%
윈덤서귀포이스트호텔 4
 
1.4%
Other values (106) 195
70.4%
2023-12-10T15:18:44.574932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 109
 
7.3%
텔 106
 
7.1%
77
 
5.2%
스 58
 
3.9%
리 54
 
3.6%
주 44
 
3.0%
제 42
 
2.8%
트 35
 
2.4%
션 33
 
2.2%
이 33
 
2.2%
Other values (185) 892
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1369
92.3%
Space Separator 77
 
5.2%
Uppercase Letter 22
 
1.5%
Decimal Number 8
 
0.5%
Other Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 109
 
8.0%
텔 106
 
7.7%
스 58
 
4.2%
리 54
 
3.9%
주 44
 
3.2%
제 42
 
3.1%
트 35
 
2.6%
션 33
 
2.4%
이 33
 
2.4%
펜 32
 
2.3%
Other values (166) 823
60.1%
Uppercase Letter
ValueCountFrequency (%)
S 4
18.2%
E 4
18.2%
J 3
13.6%
W 3
13.6%
H 2
9.1%
L 2
9.1%
B 1
 
4.5%
Y 1
 
4.5%
T 1
 
4.5%
I 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
5 4
50.0%
1 2
25.0%
7 1
 
12.5%
0 1
 
12.5%
Space Separator
ValueCountFrequency (%)
77
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1369
92.3%
Common 92
 
6.2%
Latin 22
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 109
 
8.0%
텔 106
 
7.7%
스 58
 
4.2%
리 54
 
3.9%
주 44
 
3.2%
제 42
 
3.1%
트 35
 
2.6%
션 33
 
2.4%
이 33
 
2.4%
펜 32
 
2.3%
Other values (166) 823
60.1%
Latin
ValueCountFrequency (%)
S 4
18.2%
E 4
18.2%
J 3
13.6%
W 3
13.6%
H 2
9.1%
L 2
9.1%
B 1
 
4.5%
Y 1
 
4.5%
T 1
 
4.5%
I 1
 
4.5%
Common
ValueCountFrequency (%)
77
83.7%
5 4
 
4.3%
& 2
 
2.2%
( 2
 
2.2%
) 2
 
2.2%
1 2
 
2.2%
7 1
 
1.1%
0 1
 
1.1%
- 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1369
92.3%
ASCII 114
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 109
 
8.0%
텔 106
 
7.7%
스 58
 
4.2%
리 54
 
3.9%
주 44
 
3.2%
제 42
 
3.1%
트 35
 
2.6%
션 33
 
2.4%
이 33
 
2.4%
펜 32
 
2.3%
Other values (166) 823
60.1%
ASCII
ValueCountFrequency (%)
77
67.5%
S 4
 
3.5%
5 4
 
3.5%
E 4
 
3.5%
J 3
 
2.6%
W 3
 
2.6%
& 2
 
1.8%
H 2
 
1.8%
( 2
 
1.8%
) 2
 
1.8%
Other values (9) 11
 
9.6%

숙박지역명
Categorical

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
중문/서귀포
62 
제주시내권
62 
동부권
45 
서부권
30 
제주시권
 
1

Length

Max length6
Median length5
Mean length4.555
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row중문/서귀포
2nd row중문/서귀포
3rd row동부권
4th row중문/서귀포
5th row제주시내권

Common Values

ValueCountFrequency (%)
중문/서귀포 62
31.0%
제주시내권 62
31.0%
동부권 45
22.5%
서부권 30
15.0%
제주시권 1
 
0.5%

Length

2023-12-10T15:18:44.852440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:18:45.082342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중문/서귀포 62
31.0%
제주시내권 62
31.0%
동부권 45
22.5%
서부권 30
15.0%
제주시권 1
 
0.5%

이용자광역시도코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

접속장치명
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
MOBILE
117 
PC
76 
Mobile
 
7

Length

Max length6
Median length6
Mean length4.48
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPC
2nd rowPC
3rd rowMOBILE
4th rowMOBILE
5th rowPC

Common Values

ValueCountFrequency (%)
MOBILE 117
58.5%
PC 76
38.0%
Mobile 7
 
3.5%

Length

2023-12-10T15:18:45.346051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:18:45.636019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mobile 124
62.0%
pc 76
38.0%

예약일시
Date

Distinct162
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2019-11-22 07:48:01
Maximum2019-12-23 23:54:37
2023-12-10T15:18:45.876868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:18:46.221779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

객실명
Text

Distinct116
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:18:46.695382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length19
Mean length8.98
Min length2

Characters and Unicode

Total characters1796
Distinct characters185
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)35.5%

Sample

1st row스너그트윈
2nd row수페리얼 트윈
3rd row디럭스트윈
4th row디럭스트윈
5th row산전망 더블
ValueCountFrequency (%)
트윈 29
 
7.9%
스탠다드 22
 
6.0%
디럭스 19
 
5.2%
디럭스트윈 14
 
3.8%
트윈룸 9
 
2.5%
더블 9
 
2.5%
슈페리어 6
 
1.6%
산전망 6
 
1.6%
deluxe 6
 
1.6%
스탠다드더블 6
 
1.6%
Other values (137) 240
65.6%
2023-12-10T15:18:47.426864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
 
9.4%
스 116
 
6.5%
트 88
 
4.9%
윈 76
 
4.2%
디 53
 
3.0%
럭 49
 
2.7%
) 43
 
2.4%
( 43
 
2.4%
다 42
 
2.3%
드 39
 
2.2%
Other values (175) 1079
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1239
69.0%
Space Separator 168
 
9.4%
Lowercase Letter 100
 
5.6%
Decimal Number 99
 
5.5%
Close Punctuation 56
 
3.1%
Open Punctuation 56
 
3.1%
Uppercase Letter 44
 
2.4%
Dash Punctuation 18
 
1.0%
Math Symbol 9
 
0.5%
Other Symbol 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 116
 
9.4%
트 88
 
7.1%
윈 76
 
6.1%
디 53
 
4.3%
럭 49
 
4.0%
다 42
 
3.4%
드 39
 
3.1%
리 38
 
3.1%
탠 36
 
2.9%
더 35
 
2.8%
Other values (130) 667
53.8%
Lowercase Letter
ValueCountFrequency (%)
e 24
24.0%
l 10
10.0%
u 10
10.0%
r 6
 
6.0%
n 6
 
6.0%
i 6
 
6.0%
x 6
 
6.0%
m 6
 
6.0%
o 5
 
5.0%
b 4
 
4.0%
Other values (6) 17
17.0%
Uppercase Letter
ValueCountFrequency (%)
D 10
22.7%
A 10
22.7%
T 6
13.6%
P 5
11.4%
B 4
 
9.1%
G 3
 
6.8%
K 3
 
6.8%
H 1
 
2.3%
V 1
 
2.3%
I 1
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 31
31.3%
2 17
17.2%
5 13
13.1%
3 12
 
12.1%
0 8
 
8.1%
8 6
 
6.1%
7 6
 
6.1%
4 5
 
5.1%
6 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 43
76.8%
] 13
 
23.2%
Open Punctuation
ValueCountFrequency (%)
( 43
76.8%
[ 13
 
23.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
+ 9
100.0%
Other Symbol
ValueCountFrequency (%)
★ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1239
69.0%
Common 413
 
23.0%
Latin 144
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 116
 
9.4%
트 88
 
7.1%
윈 76
 
6.1%
디 53
 
4.3%
럭 49
 
4.0%
다 42
 
3.4%
드 39
 
3.1%
리 38
 
3.1%
탠 36
 
2.9%
더 35
 
2.8%
Other values (130) 667
53.8%
Latin
ValueCountFrequency (%)
e 24
16.7%
l 10
 
6.9%
D 10
 
6.9%
u 10
 
6.9%
A 10
 
6.9%
r 6
 
4.2%
n 6
 
4.2%
i 6
 
4.2%
T 6
 
4.2%
x 6
 
4.2%
Other values (16) 50
34.7%
Common
ValueCountFrequency (%)
168
40.7%
) 43
 
10.4%
( 43
 
10.4%
1 31
 
7.5%
- 18
 
4.4%
2 17
 
4.1%
] 13
 
3.1%
[ 13
 
3.1%
5 13
 
3.1%
3 12
 
2.9%
Other values (9) 42
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1239
69.0%
ASCII 553
30.8%
Misc Symbols 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
30.4%
) 43
 
7.8%
( 43
 
7.8%
1 31
 
5.6%
e 24
 
4.3%
- 18
 
3.3%
2 17
 
3.1%
] 13
 
2.4%
[ 13
 
2.4%
5 13
 
2.4%
Other values (34) 170
30.7%
Hangul
ValueCountFrequency (%)
스 116
 
9.4%
트 88
 
7.1%
윈 76
 
6.1%
디 53
 
4.3%
럭 49
 
4.0%
다 42
 
3.4%
드 39
 
3.1%
리 38
 
3.1%
탠 36
 
2.9%
더 35
 
2.8%
Other values (130) 667
53.8%
Misc Symbols
ValueCountFrequency (%)
★ 4
100.0%

기준인원갯수
Real number (ℝ)

Distinct8
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.425
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:18:47.629609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile4
Maximum12
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2255139
Coefficient of variation (CV)0.50536657
Kurtosis22.136528
Mean2.425
Median Absolute Deviation (MAD)0
Skewness3.9396887
Sum485
Variance1.5018844
MonotonicityNot monotonic
2023-12-10T15:18:47.805451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 157
78.5%
4 23
 
11.5%
1 6
 
3.0%
3 6
 
3.0%
5 3
 
1.5%
8 2
 
1.0%
6 2
 
1.0%
12 1
 
0.5%
ValueCountFrequency (%)
1 6
 
3.0%
2 157
78.5%
3 6
 
3.0%
4 23
 
11.5%
5 3
 
1.5%
6 2
 
1.0%
8 2
 
1.0%
12 1
 
0.5%
ValueCountFrequency (%)
12 1
 
0.5%
8 2
 
1.0%
6 2
 
1.0%
5 3
 
1.5%
4 23
 
11.5%
3 6
 
3.0%
2 157
78.5%
1 6
 
3.0%

최대인원갯수
Real number (ℝ)

Distinct13
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.79
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:18:47.997550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile8
Maximum36
Range35
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.0251708
Coefficient of variation (CV)0.7981981
Kurtosis65.673033
Mean3.79
Median Absolute Deviation (MAD)1
Skewness6.748306
Sum758
Variance9.1516583
MonotonicityNot monotonic
2023-12-10T15:18:48.227106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 58
29.0%
3 53
26.5%
4 48
24.0%
6 15
 
7.5%
5 11
 
5.5%
1 3
 
1.5%
10 3
 
1.5%
8 3
 
1.5%
9 2
 
1.0%
12 1
 
0.5%
Other values (3) 3
 
1.5%
ValueCountFrequency (%)
1 3
 
1.5%
2 58
29.0%
3 53
26.5%
4 48
24.0%
5 11
 
5.5%
6 15
 
7.5%
7 1
 
0.5%
8 3
 
1.5%
9 2
 
1.0%
10 3
 
1.5%
ValueCountFrequency (%)
36 1
 
0.5%
16 1
 
0.5%
12 1
 
0.5%
10 3
 
1.5%
9 2
 
1.0%
8 3
 
1.5%
7 1
 
0.5%
6 15
 
7.5%
5 11
 
5.5%
4 48
24.0%

성인인원갯수
Real number (ℝ)

Distinct9
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.505
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:18:48.448495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3071027
Coefficient of variation (CV)0.5217975
Kurtosis7.8461352
Mean2.505
Median Absolute Deviation (MAD)0
Skewness2.5460021
Sum501
Variance1.7085176
MonotonicityNot monotonic
2023-12-10T15:18:48.657354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 134
67.0%
3 21
 
10.5%
4 19
 
9.5%
1 14
 
7.0%
6 7
 
3.5%
9 2
 
1.0%
7 1
 
0.5%
5 1
 
0.5%
8 1
 
0.5%
ValueCountFrequency (%)
1 14
 
7.0%
2 134
67.0%
3 21
 
10.5%
4 19
 
9.5%
5 1
 
0.5%
6 7
 
3.5%
7 1
 
0.5%
8 1
 
0.5%
9 2
 
1.0%
ValueCountFrequency (%)
9 2
 
1.0%
8 1
 
0.5%
7 1
 
0.5%
6 7
 
3.5%
5 1
 
0.5%
4 19
 
9.5%
3 21
 
10.5%
2 134
67.0%
1 14
 
7.0%

소아인원갯수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
173 
2
 
12
1
 
12
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 173
86.5%
2 12
 
6.0%
1 12
 
6.0%
4 3
 
1.5%

Length

2023-12-10T15:18:48.878475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:18:49.083527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 173
86.5%
2 12
 
6.0%
1 12
 
6.0%
4 3
 
1.5%

유아인원갯수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
194 
1
 
5
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 194
97.0%
1 5
 
2.5%
2 1
 
0.5%

Length

2023-12-10T15:18:49.259556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:18:49.427497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 194
97.0%
1 5
 
2.5%
2 1
 
0.5%

이용시작일자
Real number (ℝ)

Distinct66
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20193887
Minimum20191122
Maximum20200501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:18:49.650540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20191122
5-th percentile20191126
Q120191211
median20191224
Q320200105
95-th percentile20200206
Maximum20200501
Range9379
Interquartile range (IQR)8894.25

Descriptive statistics

Standard deviation4106.9354
Coefficient of variation (CV)0.00020337518
Kurtosis-1.237742
Mean20193887
Median Absolute Deviation (MAD)14.5
Skewness0.87973104
Sum4.0387773 × 109
Variance16866918
MonotonicityNot monotonic
2023-12-10T15:18:49.897020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191212 12
 
6.0%
20191218 8
 
4.0%
20191229 7
 
3.5%
20191225 7
 
3.5%
20191211 7
 
3.5%
20200106 7
 
3.5%
20191210 7
 
3.5%
20191224 7
 
3.5%
20191226 6
 
3.0%
20191231 6
 
3.0%
Other values (56) 126
63.0%
ValueCountFrequency (%)
20191122 4
2.0%
20191123 2
1.0%
20191125 4
2.0%
20191126 1
 
0.5%
20191128 2
1.0%
20191129 3
1.5%
20191130 3
1.5%
20191201 2
1.0%
20191202 3
1.5%
20191203 1
 
0.5%
ValueCountFrequency (%)
20200501 1
0.5%
20200430 2
1.0%
20200225 1
0.5%
20200224 1
0.5%
20200223 2
1.0%
20200215 1
0.5%
20200214 1
0.5%
20200209 1
0.5%
20200206 1
0.5%
20200203 1
0.5%

숙박주소
Text

Distinct94
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:18:50.426291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length28.335
Min length16

Characters and Unicode

Total characters5667
Distinct characters219
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

Unique48 ?
Unique (%)24.0%

Sample

1st row제주특별자치도 서귀포시 서호중로 65
2nd row제주특별자치도 서귀포시 서호중로 65
3rd row제주특별자치도 서귀포시 성산읍 해맞이해안로 2670더포그레이스호텔앤리조트
4th row제주특별자치도 서귀포시 김정문화로 51밸류호텔 서귀포JS
5th row제주특별자치도 제주시 서해안로 526해호텔
ValueCountFrequency (%)
제주특별자치도 196
20.7%
서귀포시 106
 
11.2%
제주시 94
 
9.9%
성산읍 24
 
2.5%
서해안로 20
 
2.1%
조천읍 13
 
1.4%
안덕면 12
 
1.3%
일주동로 11
 
1.2%
부두로 11
 
1.2%
44파인힐호텔 11
 
1.2%
Other values (198) 447
47.3%
2023-12-10T15:18:51.176073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
747
 
13.2%
주 329
 
5.8%
제 310
 
5.5%
시 207
 
3.7%
도 205
 
3.6%
치 201
 
3.5%
자 200
 
3.5%
특 196
 
3.5%
별 196
 
3.5%
로 159
 
2.8%
Other values (209) 2917
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4135
73.0%
Space Separator 747
 
13.2%
Decimal Number 718
 
12.7%
Dash Punctuation 43
 
0.8%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Uppercase Letter 7
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 329
 
8.0%
제 310
 
7.5%
시 207
 
5.0%
도 205
 
5.0%
치 201
 
4.9%
자 200
 
4.8%
특 196
 
4.7%
별 196
 
4.7%
로 159
 
3.8%
서 152
 
3.7%
Other values (190) 1980
47.9%
Decimal Number
ValueCountFrequency (%)
1 139
19.4%
2 109
15.2%
4 107
14.9%
0 71
9.9%
6 70
9.7%
5 69
9.6%
3 48
 
6.7%
8 46
 
6.4%
7 41
 
5.7%
9 18
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
S 3
42.9%
J 3
42.9%
D 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
: 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
747
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4135
73.0%
Common 1525
 
26.9%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 329
 
8.0%
제 310
 
7.5%
시 207
 
5.0%
도 205
 
5.0%
치 201
 
4.9%
자 200
 
4.8%
특 196
 
4.7%
별 196
 
4.7%
로 159
 
3.8%
서 152
 
3.7%
Other values (190) 1980
47.9%
Common
ValueCountFrequency (%)
747
49.0%
1 139
 
9.1%
2 109
 
7.1%
4 107
 
7.0%
0 71
 
4.7%
6 70
 
4.6%
5 69
 
4.5%
3 48
 
3.1%
8 46
 
3.0%
- 43
 
2.8%
Other values (6) 76
 
5.0%
Latin
ValueCountFrequency (%)
S 3
42.9%
J 3
42.9%
D 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4135
73.0%
ASCII 1532
 
27.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
747
48.8%
1 139
 
9.1%
2 109
 
7.1%
4 107
 
7.0%
0 71
 
4.6%
6 70
 
4.6%
5 69
 
4.5%
3 48
 
3.1%
8 46
 
3.0%
- 43
 
2.8%
Other values (9) 83
 
5.4%
Hangul
ValueCountFrequency (%)
주 329
 
8.0%
제 310
 
7.5%
시 207
 
5.0%
도 205
 
5.0%
치 201
 
4.9%
자 200
 
4.8%
특 196
 
4.7%
별 196
 
4.7%
로 159
 
3.8%
서 152
 
3.7%
Other values (190) 1980
47.9%

이용종료일자
Real number (ℝ)

Distinct67
Distinct (%)33.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20194245
Minimum20191123
Maximum20200503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:18:51.545464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20191123
5-th percentile20191129
Q120191212
median20191225
Q320200106
95-th percentile20200207
Maximum20200503
Range9380
Interquartile range (IQR)8894.25

Descriptive statistics

Standard deviation4243.7942
Coefficient of variation (CV)0.00021014869
Kurtosis-1.5510524
Mean20194245
Median Absolute Deviation (MAD)16.5
Skewness0.68098337
Sum4.038849 × 109
Variance18009789
MonotonicityNot monotonic
2023-12-10T15:18:51.805871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191213 11
 
5.5%
20191219 10
 
5.0%
20200108 9
 
4.5%
20200110 8
 
4.0%
20191226 8
 
4.0%
20191215 7
 
3.5%
20191212 7
 
3.5%
20191225 6
 
3.0%
20200101 6
 
3.0%
20191211 6
 
3.0%
Other values (57) 122
61.0%
ValueCountFrequency (%)
20191123 4
2.0%
20191124 2
1.0%
20191126 2
1.0%
20191127 2
1.0%
20191129 3
1.5%
20191130 2
1.0%
20191201 4
2.0%
20191202 2
1.0%
20191203 2
1.0%
20191205 3
1.5%
ValueCountFrequency (%)
20200503 1
0.5%
20200502 1
0.5%
20200501 1
0.5%
20200226 2
1.0%
20200225 1
0.5%
20200224 1
0.5%
20200217 1
0.5%
20200216 1
0.5%
20200211 1
0.5%
20200207 1
0.5%

이용일수갯수
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
139 
2
43 
3
 
11
4
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 139
69.5%
2 43
 
21.5%
3 11
 
5.5%
4 7
 
3.5%

Length

2023-12-10T15:18:52.414377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:18:52.638068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 139
69.5%
2 43
 
21.5%
3 11
 
5.5%
4 7
 
3.5%

결제수단명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
카드
171 
무통장
19 
계좌이체
 
8
핸드폰
 
2

Length

Max length4
Median length2
Mean length2.185
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row카드
2nd row카드
3rd row카드
4th row카드
5th row무통장

Common Values

ValueCountFrequency (%)
카드 171
85.5%
무통장 19
 
9.5%
계좌이체 8
 
4.0%
핸드폰 2
 
1.0%

Length

2023-12-10T15:18:52.887566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:18:53.100740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
카드 171
85.5%
무통장 19
 
9.5%
계좌이체 8
 
4.0%
핸드폰 2
 
1.0%

총금액
Real number (ℝ)

Distinct105
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113564.15
Minimum17000
Maximum1410000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:18:53.305069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17000
5-th percentile35921.5
Q150000
median76500
Q3119850
95-th percentile270500
Maximum1410000
Range1393000
Interquartile range (IQR)69850

Descriptive statistics

Standard deviation149532.41
Coefficient of variation (CV)1.316722
Kurtosis34.844688
Mean113564.15
Median Absolute Deviation (MAD)28810
Skewness5.271977
Sum22712830
Variance2.2359943 × 1010
MonotonicityNot monotonic
2023-12-10T15:18:53.562341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40000 13
 
6.5%
50000 10
 
5.0%
90000 8
 
4.0%
100000 7
 
3.5%
80000 6
 
3.0%
32000 5
 
2.5%
65000 5
 
2.5%
120000 5
 
2.5%
85000 4
 
2.0%
180000 4
 
2.0%
Other values (95) 133
66.5%
ValueCountFrequency (%)
17000 1
 
0.5%
30000 2
 
1.0%
32000 5
2.5%
33860 1
 
0.5%
35000 1
 
0.5%
35970 1
 
0.5%
36000 2
 
1.0%
37000 2
 
1.0%
38000 3
1.5%
39680 1
 
0.5%
ValueCountFrequency (%)
1410000 1
0.5%
800000 2
1.0%
782000 1
0.5%
720000 1
0.5%
506000 2
1.0%
281600 2
1.0%
280000 1
0.5%
270000 1
0.5%
258000 1
0.5%
247000 1
0.5%

숙박위도X좌표
Real number (ℝ)

Distinct93
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.392584
Minimum33.216672
Maximum33.548414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:18:53.803629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.216672
5-th percentile33.241422
Q133.251417
median33.448349
Q333.495132
95-th percentile33.542848
Maximum33.548414
Range0.3317427
Interquartile range (IQR)0.24371493

Descriptive statistics

Standard deviation0.11838873
Coefficient of variation (CV)0.0035453598
Kurtosis-1.7162668
Mean33.392584
Median Absolute Deviation (MAD)0.0712575
Skewness-0.22860387
Sum6678.5169
Variance0.014015891
MonotonicityNot monotonic
2023-12-10T15:18:54.001502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.2414225 11
 
5.5%
33.5196066 8
 
4.0%
33.4810891 6
 
3.0%
33.4734237 6
 
3.0%
33.2463436 6
 
3.0%
33.2481548 6
 
3.0%
33.2543656 4
 
2.0%
33.2423523 4
 
2.0%
33.3029046 4
 
2.0%
33.516304 4
 
2.0%
Other values (83) 141
70.5%
ValueCountFrequency (%)
33.2166718 4
 
2.0%
33.2177393 1
 
0.5%
33.2374078 1
 
0.5%
33.2375463 2
 
1.0%
33.2414225 11
5.5%
33.2416804 3
 
1.5%
33.2423523 4
 
2.0%
33.2460023 1
 
0.5%
33.2463436 6
3.0%
33.2472522 1
 
0.5%
ValueCountFrequency (%)
33.5484145 2
 
1.0%
33.5455129 1
 
0.5%
33.5452924 1
 
0.5%
33.5452452 1
 
0.5%
33.5450967 4
2.0%
33.5431515 1
 
0.5%
33.5428317 2
 
1.0%
33.5423952 1
 
0.5%
33.5329839 1
 
0.5%
33.5196066 8
4.0%

숙박경도Y좌표
Real number (ℝ)

Distinct93
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.5493
Minimum126.21845
Maximum126.93189
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:18:54.224653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.21845
5-th percentile126.26228
Q1126.47065
median126.51058
Q3126.59139
95-th percentile126.9109
Maximum126.93189
Range0.7134416
Interquartile range (IQR)0.1207449

Descriptive statistics

Standard deviation0.17782037
Coefficient of variation (CV)0.001405147
Kurtosis0.026708457
Mean126.5493
Median Absolute Deviation (MAD)0.0663121
Skewness0.60841516
Sum25309.86
Variance0.031620083
MonotonicityNot monotonic
2023-12-10T15:18:54.478910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.5643307 11
 
5.5%
126.495218 8
 
4.0%
126.4706491 6
 
3.0%
126.9105635 6
 
3.0%
126.2968829 6
 
3.0%
126.5589235 6
 
3.0%
126.52007 4
 
2.0%
126.5621029 4
 
2.0%
126.5785034 4
 
2.0%
126.5036099 4
 
2.0%
Other values (83) 141
70.5%
ValueCountFrequency (%)
126.2184465 1
 
0.5%
126.2421759 2
 
1.0%
126.2509144 1
 
0.5%
126.2521107 2
 
1.0%
126.252112 4
2.0%
126.2628123 1
 
0.5%
126.2915444 1
 
0.5%
126.2946818 2
 
1.0%
126.2968829 6
3.0%
126.299013 1
 
0.5%
ValueCountFrequency (%)
126.9318881 2
 
1.0%
126.9225825 1
 
0.5%
126.9215366 1
 
0.5%
126.9181682 2
 
1.0%
126.9119961 4
2.0%
126.9108398 1
 
0.5%
126.9105635 6
3.0%
126.9065679 1
 
0.5%
126.9048957 1
 
0.5%
126.9001856 2
 
1.0%

숙박유형명
Categorical

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
호텔
113 
펜션
62 
리조트/풀빌라/콘도
21 
리조트/콘도
 
3
게스트하우스
 
1

Length

Max length10
Median length2
Mean length2.92
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row호텔
2nd row호텔
3rd row리조트/풀빌라/콘도
4th row호텔
5th row호텔

Common Values

ValueCountFrequency (%)
호텔 113
56.5%
펜션 62
31.0%
리조트/풀빌라/콘도 21
 
10.5%
리조트/콘도 3
 
1.5%
게스트하우스 1
 
0.5%

Length

2023-12-10T15:18:54.843091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:18:55.091759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
호텔 113
56.5%
펜션 62
31.0%
리조트/풀빌라/콘도 21
 
10.5%
리조트/콘도 3
 
1.5%
게스트하우스 1
 
0.5%

숙박객실갯수
Real number (ℝ)

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.2
Minimum1
Maximum1720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:18:55.253118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1720
Range1719
Interquartile range (IQR)0

Descriptive statistics

Standard deviation173.53658
Coefficient of variation (CV)8.1856878
Kurtosis92.133136
Mean21.2
Median Absolute Deviation (MAD)0
Skewness9.5586967
Sum4240
Variance30114.945
MonotonicityNot monotonic
2023-12-10T15:18:55.409764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 193
96.5%
10 2
 
1.0%
1720 2
 
1.0%
12 1
 
0.5%
280 1
 
0.5%
295 1
 
0.5%
ValueCountFrequency (%)
1 193
96.5%
10 2
 
1.0%
12 1
 
0.5%
280 1
 
0.5%
295 1
 
0.5%
1720 2
 
1.0%
ValueCountFrequency (%)
1720 2
 
1.0%
295 1
 
0.5%
280 1
 
0.5%
12 1
 
0.5%
10 2
 
1.0%
1 193
96.5%

숙박테마명
Text

MISSING 

Distinct5
Distinct (%)71.4%
Missing193
Missing (%)96.5%
Memory size1.7 KiB
2023-12-10T15:18:55.630017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length10.571429
Min length7

Characters and Unicode

Total characters74
Distinct characters22
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

Unique3 ?
Unique (%)42.9%

Sample

1st row바닷가 핫플레잇 단체
2nd row조식가능 수영장 단체
3rd row조식가능 수영장 단체
4th row바닷가 핫플레잇 단체
5th row바닷가 허니문
ValueCountFrequency (%)
단체 5
25.0%
조식가능 4
20.0%
수영장 4
20.0%
바닷가 3
15.0%
핫플레잇 2
 
10.0%
허니문 1
 
5.0%
독채형 1
 
5.0%
2023-12-10T15:18:56.087647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
17.6%
가 7
 
9.5%
단 5
 
6.8%
체 5
 
6.8%
식 4
 
5.4%
장 4
 
5.4%
영 4
 
5.4%
수 4
 
5.4%
능 4
 
5.4%
조 4
 
5.4%
Other values (12) 20
27.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61
82.4%
Space Separator 13
 
17.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 7
11.5%
단 5
 
8.2%
체 5
 
8.2%
식 4
 
6.6%
장 4
 
6.6%
영 4
 
6.6%
수 4
 
6.6%
능 4
 
6.6%
조 4
 
6.6%
닷 3
 
4.9%
Other values (11) 17
27.9%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61
82.4%
Common 13
 
17.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 7
11.5%
단 5
 
8.2%
체 5
 
8.2%
식 4
 
6.6%
장 4
 
6.6%
영 4
 
6.6%
수 4
 
6.6%
능 4
 
6.6%
조 4
 
6.6%
닷 3
 
4.9%
Other values (11) 17
27.9%
Common
ValueCountFrequency (%)
13
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61
82.4%
ASCII 13
 
17.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
100.0%
Hangul
ValueCountFrequency (%)
가 7
11.5%
단 5
 
8.2%
체 5
 
8.2%
식 4
 
6.6%
장 4
 
6.6%
영 4
 
6.6%
수 4
 
6.6%
능 4
 
6.6%
조 4
 
6.6%
닷 3
 
4.9%
Other values (11) 17
27.9%

이용자연령대코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
197 
40
 
3

Length

Max length4
Median length4
Mean length3.97
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 197
98.5%
40 3
 
1.5%

Length

2023-12-10T15:18:56.328175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:18:56.515290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 197
98.5%
40 3
 
1.5%

이용자성별코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
197 
2
 
3

Length

Max length4
Median length4
Mean length3.955
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 197
98.5%
2 3
 
1.5%

Length

2023-12-10T15:18:56.693051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:18:56.878680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 197
98.5%
2 3
 
1.5%

Sample

숙박명숙박지역명이용자광역시도코드접속장치명예약일시객실명기준인원갯수최대인원갯수성인인원갯수소아인원갯수유아인원갯수이용시작일자숙박주소이용종료일자이용일수갯수결제수단명총금액숙박위도X좌표숙박경도Y좌표숙박유형명숙박객실갯수숙박테마명이용자연령대코드이용자성별코드
0라마다앙코르 바이 윈덤서귀포이스트호텔중문/서귀포<NA>PC2019-12-13 00:52:01스너그트윈2220020200107제주특별자치도 서귀포시 서호중로 65202001081카드4021033.254366126.52007호텔1<NA><NA><NA>
1라마다앙코르 바이 윈덤서귀포이스트호텔중문/서귀포<NA>PC2019-12-13 00:52:01수페리얼 트윈2320020200107제주특별자치도 서귀포시 서호중로 65202001081카드4761033.254366126.52007호텔1<NA><NA><NA>
2더포그레이스리조트동부권<NA>MOBILE2019-12-13 09:14:15디럭스트윈2440020191230제주특별자치도 서귀포시 성산읍 해맞이해안로 2670더포그레이스호텔앤리조트201912311카드8500033.473424126.910563리조트/풀빌라/콘도1<NA><NA><NA>
3밸류호텔 서귀포JS중문/서귀포<NA>MOBILE2019-12-13 11:15:41디럭스트윈2320020191231제주특별자치도 서귀포시 김정문화로 51밸류호텔 서귀포JS202001011카드6850033.251417126.510287호텔1<NA><NA><NA>
4해호텔제주시내권<NA>PC2019-12-13 11:43:03산전망 더블2220020191214제주특별자치도 제주시 서해안로 526해호텔201912151무통장3600033.519607126.495218호텔1<NA><NA><NA>
5파인힐호텔중문/서귀포<NA>PC2019-12-13 11:43:03스탠다드 트윈2220020191215제주특별자치도 서귀포시 부두로 44파인힐호텔201912161무통장3386033.241422126.564331호텔1<NA><NA><NA>
6미르빌펜션&리조트서부권<NA>MOBILE2019-12-13 20:19:19리조트 13평 양실2220020191225제주특별자치도 서귀포시 안덕면 사계로114번길 87미르빌펜션&리조트201912261무통장3700033.246002126.306052펜션1<NA><NA><NA>
7성산아쿠아비치호텔동부권<NA>MOBILE2019-12-18 09:08:36스탠다드 트윈 일출봉뷰2220020191218제주특별자치도 서귀포시 성산읍 일주동로 4258프론트201912191카드3990033.448349126.911996호텔1<NA><NA><NA>
8모드니에펜션중문/서귀포<NA>MOBILE2019-12-18 10:15:4518평형객실2422020200109제주특별자치도 서귀포시 동홍동 960모드니에202001101카드8349033.272218126.566363펜션1<NA><NA><NA>
9또시오라제주시내권<NA>MOBILE2019-12-18 12:14:36type B.014660020191231제주특별자치도 제주시 서해안로 446-22202001011무통장18000033.51735126.487685펜션1<NA><NA><NA>
숙박명숙박지역명이용자광역시도코드접속장치명예약일시객실명기준인원갯수최대인원갯수성인인원갯수소아인원갯수유아인원갯수이용시작일자숙박주소이용종료일자이용일수갯수결제수단명총금액숙박위도X좌표숙박경도Y좌표숙박유형명숙박객실갯수숙박테마명이용자연령대코드이용자성별코드
190소보록 요보록중문/서귀포<NA>MOBILE2019-11-28 15:20:01복층형2421020191223제주특별자치도 서귀포시 검은여로 81-7201912241카드6500033.250523126.580343펜션1<NA><NA><NA>
191리벤시아호텔앤풀빌라서부권<NA>PC2019-11-28 19:49:40Hotel Deluxe Double2220020191205제주특별자치도 제주시 한림읍 한림로 33리벤시아호텔앤풀빌라201912061카드7195033.377209126.218446호텔1<NA><NA><NA>
192밸류호텔 서귀포JS중문/서귀포<NA>MOBILE2019-11-28 21:27:57스탠다드트윈2220020200110제주특별자치도 서귀포시 김정문화로 51밸류호텔 서귀포JS202001111카드5050033.251417126.510287호텔1<NA><NA><NA>
193호텔 시리우스 제주제주시내권<NA>MOBILE2019-11-28 21:27:57스탠다드트윈-조식불포함2220020200112제주특별자치도 제주시 도령로 133호텔 시리우스 제주202001131카드7407033.493447126.490993호텔1<NA><NA><NA>
194제주베스트힐 펜션앤글램핑동부권<NA>PC2019-11-28 23:10:48[펜션] 원룸 온돌형2640020200206제주특별자치도 제주시 조천읍 남조로 2109-36베스트힐(숙박)202002071카드8900033.453837126.657712펜션1<NA><NA><NA>
195레슬리호텔제주시내권<NA>MOBILE2019-11-28 23:56:02스탠다드더블2210020191202제주특별자치도 제주시 광평길 3레슬리호텔201912031카드5000033.481089126.470649호텔1<NA><NA><NA>
196바이더힐(BY THE HILL)서부권<NA>MOBILE2019-11-30 11:55:5315평형 더블베드(퀸+싱글)2421020191207제주특별자치도 제주시 유수암리 2049-1201912103카드21700033.444228126.403553펜션1<NA><NA><NA>
197라마다앙코르 바이 윈덤서귀포이스트호텔중문/서귀포<NA>PC2019-11-30 14:37:18스너그트윈2220020191223제주특별자치도 서귀포시 서호중로 65201912274카드18658033.254366126.52007호텔1<NA><NA><NA>
198파인힐호텔중문/서귀포<NA>MOBILE2019-11-30 14:42:37스탠다드 트윈2220020191130제주특별자치도 서귀포시 부두로 44파인힐호텔201912011카드3200033.241422126.564331호텔1<NA><NA><NA>
199더포그레이스리조트동부권<NA>MOBILE2019-11-30 16:58:11디럭스트윈2422020191203제주특별자치도 서귀포시 성산읍 해맞이해안로 2670더포그레이스호텔앤리조트201912052카드13000033.473424126.910563리조트/풀빌라/콘도1<NA><NA><NA>

Duplicate rows

Most frequently occurring

숙박명숙박지역명접속장치명예약일시객실명기준인원갯수최대인원갯수성인인원갯수소아인원갯수유아인원갯수이용시작일자숙박주소이용종료일자이용일수갯수결제수단명총금액숙박위도X좌표숙박경도Y좌표숙박유형명숙박객실갯수숙박테마명이용자연령대코드이용자성별코드# duplicates
10제주필하우스동부권PC2019-12-05 11:06:25패밀리스튜디오(랜덤배정)4640020200108제주특별자치도 제주시 조천읍 일주동로 1415일주동로 1415202001102카드10000033.545097126.686347펜션1<NA><NA><NA>4
14해호텔제주시내권PC2019-12-01 21:56:09바다전망 트윈2320020191212제주특별자치도 제주시 서해안로 526해호텔201912131카드4000033.519607126.495218호텔1<NA><NA><NA>4
8산방산에펜션서부권PC2019-12-05 09:47:39A타입2540020200106제주특별자치도 서귀포시 안덕면 사계북로41번길 151산방산에펜션202001082카드9000033.246344126.296883펜션1<NA><NA><NA>3
0WE호텔중문/서귀포MOBILE2019-12-18 14:53:02슈페리어트윈 (산전망)2320020191218제주특별자치도 서귀포시 1100로 453-95201912191카드12000033.286219126.444266호텔1<NA><NA><NA>2
1가비오타펜션동부권PC2019-12-18 16:58:35오션디럭스303호2320020191224제주특별자치도 제주시 구좌읍 해맞이해안로 2030가동 가비오타펜션201912251카드8500033.509419126.900186펜션1<NA><NA><NA>2
2그림리조트제주시내권PC2019-12-18 17:59:31허니문하우스-허니문룸2320020191229제주특별자치도 제주시 서해안로 620-1201912312카드13110033.516304126.50361펜션1<NA><NA><NA>2
3꿈꾸는노마드중문/서귀포PC2019-12-18 17:14:4517평2420020200101제주특별자치도 서귀포시 강정동 1026-1꿈꾸는노마드202001032카드11200033.24168126.499655펜션1<NA><NA><NA>2
4또시오라제주시내권MOBILE2019-12-18 12:14:36type B.014660020191231제주특별자치도 제주시 서해안로 446-22202001011무통장18000033.51735126.487685펜션1<NA><NA><NA>2
5레슬리호텔제주시내권PC2019-12-18 16:07:59스탠다드더블2220020191231제주특별자치도 제주시 광평길 3레슬리호텔202001011카드5000033.481089126.470649호텔1<NA><NA><NA>2
6모드니에펜션중문/서귀포MOBILE2019-12-18 10:15:4518평형객실2422020200109제주특별자치도 서귀포시 동홍동 960모드니에202001101카드8349033.272218126.566363펜션1<NA><NA><NA>2