Overview

Dataset statistics

Number of variables13
Number of observations200
Missing cells800
Missing cells (%)30.8%
Duplicate rows13
Duplicate rows (%)6.5%
Total size in memory21.8 KiB
Average record size in memory111.7 B

Variable types

Text2
Categorical4
Unsupported4
DateTime1
Numeric2

Dataset

DescriptionSample
Author(주)넥스트이지
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=NXESTAYNGLIKE0000000

Alerts

숙박객실갯수 has constant value ""Constant
Dataset has 13 (6.5%) duplicate rowsDuplicates
숙박위도X좌표 is highly overall correlated with 숙박지역명High correlation
숙박경도Y좌표 is highly overall correlated with 숙박지역명High correlation
숙박지역명 is highly overall correlated with 숙박위도X좌표 and 1 other fieldsHigh correlation
이용자광역시도코드 has 200 (100.0%) missing valuesMissing
숙박테마명 has 200 (100.0%) missing valuesMissing
이용자연령대코드 has 200 (100.0%) missing valuesMissing
이용자성별코드 has 200 (100.0%) missing valuesMissing
이용자광역시도코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
숙박테마명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
이용자연령대코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
이용자성별코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 06:36:54.668168
Analysis finished2023-12-10 06:36:56.558511
Duration1.89 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

숙박명
Text

Distinct93
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:36:56.822570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length7.38
Min length3

Characters and Unicode

Total characters1476
Distinct characters196
Distinct categories9 ?
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 row파인힐호텔
2nd row미소게스트하우스
3rd row해호텔
4th row베니키아 더제주리조트
5th row더코지 인 제주
ValueCountFrequency (%)
서귀포 11
 
4.0%
파인힐호텔 10
 
3.6%
제주 10
 
3.6%
더포그레이스리조트 8
 
2.9%
호텔 8
 
2.9%
리조트 7
 
2.5%
중문훼미리 7
 
2.5%
꿈꾸는노마드 7
 
2.5%
레슬리호텔 7
 
2.5%
인 6
 
2.2%
Other values (102) 194
70.5%
2023-12-10T15:36:57.485256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 76
 
5.1%
75
 
5.1%
호 73
 
4.9%
텔 66
 
4.5%
스 51
 
3.5%
트 45
 
3.0%
션 42
 
2.8%
조 38
 
2.6%
펜 38
 
2.6%
제 34
 
2.3%
Other values (186) 938
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1317
89.2%
Space Separator 75
 
5.1%
Uppercase Letter 55
 
3.7%
Decimal Number 9
 
0.6%
Close Punctuation 7
 
0.5%
Open Punctuation 7
 
0.5%
Lowercase Letter 3
 
0.2%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 76
 
5.8%
호 73
 
5.5%
텔 66
 
5.0%
스 51
 
3.9%
트 45
 
3.4%
션 42
 
3.2%
조 38
 
2.9%
펜 38
 
2.9%
제 34
 
2.6%
주 34
 
2.6%
Other values (166) 820
62.3%
Uppercase Letter
ValueCountFrequency (%)
H 10
18.2%
L 10
18.2%
E 6
10.9%
Y 5
9.1%
B 5
9.1%
I 5
9.1%
T 5
9.1%
J 4
 
7.3%
S 4
 
7.3%
W 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
u 1
33.3%
t 1
33.3%
s 1
33.3%
Decimal Number
ValueCountFrequency (%)
5 6
66.7%
1 3
33.3%
Space Separator
ValueCountFrequency (%)
75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1317
89.2%
Common 101
 
6.8%
Latin 58
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 76
 
5.8%
호 73
 
5.5%
텔 66
 
5.0%
스 51
 
3.9%
트 45
 
3.4%
션 42
 
3.2%
조 38
 
2.9%
펜 38
 
2.9%
제 34
 
2.6%
주 34
 
2.6%
Other values (166) 820
62.3%
Latin
ValueCountFrequency (%)
H 10
17.2%
L 10
17.2%
E 6
10.3%
Y 5
8.6%
B 5
8.6%
I 5
8.6%
T 5
8.6%
J 4
 
6.9%
S 4
 
6.9%
u 1
 
1.7%
Other values (3) 3
 
5.2%
Common
ValueCountFrequency (%)
75
74.3%
) 7
 
6.9%
( 7
 
6.9%
5 6
 
5.9%
1 3
 
3.0%
& 2
 
2.0%
- 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1317
89.2%
ASCII 159
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 76
 
5.8%
호 73
 
5.5%
텔 66
 
5.0%
스 51
 
3.9%
트 45
 
3.4%
션 42
 
3.2%
조 38
 
2.9%
펜 38
 
2.9%
제 34
 
2.6%
주 34
 
2.6%
Other values (166) 820
62.3%
ASCII
ValueCountFrequency (%)
75
47.2%
H 10
 
6.3%
L 10
 
6.3%
) 7
 
4.4%
( 7
 
4.4%
5 6
 
3.8%
E 6
 
3.8%
Y 5
 
3.1%
B 5
 
3.1%
I 5
 
3.1%
Other values (10) 23
 
14.5%

숙박지역명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
중문/서귀포
73 
동부권
61 
서부권
36 
제주시내권
30 

Length

Max length6
Median length5
Mean length4.395
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중문/서귀포 73
36.5%
동부권 61
30.5%
서부권 36
18.0%
제주시내권 30
15.0%

Length

2023-12-10T15:36:57.756263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:36:58.009611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중문/서귀포 73
36.5%
동부권 61
30.5%
서부권 36
18.0%
제주시내권 30
15.0%

이용자광역시도코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

접속장치명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
MOBILE
162 
PC
38 

Length

Max length6
Median length6
Mean length5.24
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
MOBILE 162
81.0%
PC 38
 
19.0%

Length

2023-12-10T15:36:58.220227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:36:58.511582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mobile 162
81.0%
pc 38
 
19.0%

등록일시
Date

Distinct187
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2019-11-21 17:44:54
Maximum2019-12-23 16:35:18
2023-12-10T15:36:58.722398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:59.008606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

숙박주소
Text

Distinct93
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:36:59.672531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length30.425
Min length23

Characters and Unicode

Total characters6085
Distinct characters238
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 부두로 44 파인힐호텔
2nd row제주특별자치도 제주시 관덕로 41 일도1동1416-1
3rd row제주특별자치도 제주시 서해안로 526 해호텔
4th row제주특별자치도 제주시 한림읍 협재로 226 더제주리조트
5th row제주특별자치도 서귀포시 보목로70번길 3 보목동 583
ValueCountFrequency (%)
제주특별자치도 200
 
17.7%
서귀포시 125
 
11.0%
제주시 75
 
6.6%
성산읍 35
 
3.1%
안덕면 15
 
1.3%
구좌읍 14
 
1.2%
3 14
 
1.2%
한림읍 13
 
1.1%
리조트 12
 
1.1%
일주동로 11
 
1.0%
Other values (262) 619
54.6%
2023-12-10T15:37:00.500835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
963
 
15.8%
주 307
 
5.0%
제 291
 
4.8%
도 209
 
3.4%
시 205
 
3.4%
치 202
 
3.3%
자 201
 
3.3%
특 200
 
3.3%
별 200
 
3.3%
1 159
 
2.6%
Other values (228) 3148
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4297
70.6%
Space Separator 963
 
15.8%
Decimal Number 736
 
12.1%
Dash Punctuation 61
 
1.0%
Uppercase Letter 11
 
0.2%
Open Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 307
 
7.1%
제 291
 
6.8%
도 209
 
4.9%
시 205
 
4.8%
치 202
 
4.7%
자 201
 
4.7%
특 200
 
4.7%
별 200
 
4.7%
서 153
 
3.6%
포 149
 
3.5%
Other values (210) 2180
50.7%
Decimal Number
ValueCountFrequency (%)
1 159
21.6%
2 111
15.1%
4 101
13.7%
0 69
9.4%
3 67
9.1%
5 55
 
7.5%
8 52
 
7.1%
6 52
 
7.1%
7 49
 
6.7%
9 21
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
S 4
36.4%
J 4
36.4%
D 3
27.3%
Space Separator
ValueCountFrequency (%)
963
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4297
70.6%
Common 1777
29.2%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 307
 
7.1%
제 291
 
6.8%
도 209
 
4.9%
시 205
 
4.8%
치 202
 
4.7%
자 201
 
4.7%
특 200
 
4.7%
별 200
 
4.7%
서 153
 
3.6%
포 149
 
3.5%
Other values (210) 2180
50.7%
Common
ValueCountFrequency (%)
963
54.2%
1 159
 
8.9%
2 111
 
6.2%
4 101
 
5.7%
0 69
 
3.9%
3 67
 
3.8%
- 61
 
3.4%
5 55
 
3.1%
8 52
 
2.9%
6 52
 
2.9%
Other values (5) 87
 
4.9%
Latin
ValueCountFrequency (%)
S 4
36.4%
J 4
36.4%
D 3
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4297
70.6%
ASCII 1788
29.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
963
53.9%
1 159
 
8.9%
2 111
 
6.2%
4 101
 
5.6%
0 69
 
3.9%
3 67
 
3.7%
- 61
 
3.4%
5 55
 
3.1%
8 52
 
2.9%
6 52
 
2.9%
Other values (8) 98
 
5.5%
Hangul
ValueCountFrequency (%)
주 307
 
7.1%
제 291
 
6.8%
도 209
 
4.9%
시 205
 
4.8%
치 202
 
4.7%
자 201
 
4.7%
특 200
 
4.7%
별 200
 
4.7%
서 153
 
3.6%
포 149
 
3.5%
Other values (210) 2180
50.7%

숙박위도X좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct93
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.372835
Minimum33.216672
Maximum33.559356
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:00.749672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.216672
5-th percentile33.237381
Q133.249226
median33.390416
Q333.477433
95-th percentile33.545245
Maximum33.559356
Range0.3426847
Interquartile range (IQR)0.2282073

Descriptive statistics

Standard deviation0.11405576
Coefficient of variation (CV)0.0034176228
Kurtosis-1.6509714
Mean33.372835
Median Absolute Deviation (MAD)0.12148245
Skewness0.048201521
Sum6674.5669
Variance0.013008717
MonotonicityNot monotonic
2023-12-10T15:37:00.976552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.2414225 10
 
5.0%
33.4734237 8
 
4.0%
33.2416805 7
 
3.5%
33.268467 7
 
3.5%
33.4810891 7
 
3.5%
33.4343076 5
 
2.5%
33.4442281 5
 
2.5%
33.5484145 5
 
2.5%
33.4483492 4
 
2.0%
33.2514171 4
 
2.0%
Other values (83) 138
69.0%
ValueCountFrequency (%)
33.2166718 1
 
0.5%
33.230213 1
 
0.5%
33.2338982 1
 
0.5%
33.2341608 1
 
0.5%
33.2349011 2
1.0%
33.2354786 2
1.0%
33.236866 2
1.0%
33.2374078 2
1.0%
33.2394912 3
1.5%
33.2396579 2
1.0%
ValueCountFrequency (%)
33.5593565 1
 
0.5%
33.5524222 1
 
0.5%
33.5484145 5
2.5%
33.5455129 1
 
0.5%
33.5452925 1
 
0.5%
33.5452453 2
 
1.0%
33.5450968 1
 
0.5%
33.5425589 1
 
0.5%
33.5254004 3
1.5%
33.5219994 1
 
0.5%

숙박경도Y좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct93
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.57642
Minimum126.21845
Maximum126.93189
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:01.222817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.21845
5-th percentile126.25211
Q1126.43003
median126.55892
Q3126.74238
95-th percentile126.912
Maximum126.93189
Range0.7134416
Interquartile range (IQR)0.31235117

Descriptive statistics

Standard deviation0.20694344
Coefficient of variation (CV)0.0016349288
Kurtosis-0.88400301
Mean126.57642
Median Absolute Deviation (MAD)0.14669655
Skewness0.29636825
Sum25315.284
Variance0.042825587
MonotonicityNot monotonic
2023-12-10T15:37:01.484872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.5643308 10
 
5.0%
126.9105636 8
 
4.0%
126.4996549 7
 
3.5%
126.386078 7
 
3.5%
126.4706491 7
 
3.5%
126.9048957 5
 
2.5%
126.403553 5
 
2.5%
126.74238 5
 
2.5%
126.9119961 4
 
2.0%
126.5102874 4
 
2.0%
Other values (83) 138
69.0%
ValueCountFrequency (%)
126.2184466 2
1.0%
126.2288741 2
1.0%
126.247179 2
1.0%
126.251033 1
 
0.5%
126.2511523 1
 
0.5%
126.2521108 3
1.5%
126.252112 1
 
0.5%
126.2608683 1
 
0.5%
126.2697824 1
 
0.5%
126.2905004 1
 
0.5%
ValueCountFrequency (%)
126.9318882 1
 
0.5%
126.9225826 2
 
1.0%
126.9215367 3
 
1.5%
126.9181682 1
 
0.5%
126.9119961 4
2.0%
126.911468 3
 
1.5%
126.9105636 8
4.0%
126.9092254 2
 
1.0%
126.9065679 1
 
0.5%
126.9048957 5
2.5%

숙박유형명
Categorical

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
펜션
83 
호텔
72 
리조트/풀빌라/콘도
39 
게스트하우스
 
5
캠핑/카라반
 
1

Length

Max length10
Median length2
Mean length3.68
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row호텔
2nd row게스트하우스
3rd row호텔
4th row호텔
5th row펜션

Common Values

ValueCountFrequency (%)
펜션 83
41.5%
호텔 72
36.0%
리조트/풀빌라/콘도 39
19.5%
게스트하우스 5
 
2.5%
캠핑/카라반 1
 
0.5%

Length

2023-12-10T15:37:01.732307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:02.036070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
펜션 83
41.5%
호텔 72
36.0%
리조트/풀빌라/콘도 39
19.5%
게스트하우스 5
 
2.5%
캠핑/카라반 1
 
0.5%

숙박객실갯수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
200 

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 (%)
1 200
100.0%

Length

2023-12-10T15:37:02.225082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:02.372640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 200
100.0%

숙박테마명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

이용자연령대코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

이용자성별코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Interactions

2023-12-10T15:36:55.793049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:55.468887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:55.973069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:36:55.621447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:37:02.496539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
숙박명숙박지역명접속장치명숙박주소숙박위도X좌표숙박경도Y좌표숙박유형명
숙박명1.0001.0000.2721.0001.0001.0001.000
숙박지역명1.0001.0000.2481.0000.8640.8820.324
접속장치명0.2720.2481.0000.2720.1840.1460.108
숙박주소1.0001.0000.2721.0001.0001.0001.000
숙박위도X좌표1.0000.8640.1841.0001.0000.8820.620
숙박경도Y좌표1.0000.8820.1461.0000.8821.0000.664
숙박유형명1.0000.3240.1081.0000.6200.6641.000
2023-12-10T15:37:02.664421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
접속장치명숙박유형명숙박지역명
접속장치명1.0000.1310.164
숙박유형명0.1311.0000.269
숙박지역명0.1640.2691.000
2023-12-10T15:37:03.862877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
숙박위도X좌표숙박경도Y좌표숙박지역명접속장치명숙박유형명
숙박위도X좌표1.0000.3420.7090.1380.300
숙박경도Y좌표0.3421.0000.7380.1090.331
숙박지역명0.7090.7381.0000.1640.269
접속장치명0.1380.1090.1641.0000.131
숙박유형명0.3000.3310.2690.1311.000

Missing values

2023-12-10T15:36:56.163216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:36:56.446417image/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

숙박명숙박지역명이용자광역시도코드접속장치명등록일시숙박주소숙박위도X좌표숙박경도Y좌표숙박유형명숙박객실갯수숙박테마명이용자연령대코드이용자성별코드
0파인힐호텔중문/서귀포<NA>MOBILE2019-11-21 17:44:54제주특별자치도 서귀포시 부두로 44 파인힐호텔33.241422126.564331호텔1<NA><NA><NA>
1미소게스트하우스제주시내권<NA>MOBILE2019-11-21 20:25:58제주특별자치도 제주시 관덕로 41 일도1동1416-133.513406126.523796게스트하우스1<NA><NA><NA>
2해호텔제주시내권<NA>MOBILE2019-11-21 20:27:50제주특별자치도 제주시 서해안로 526 해호텔33.519607126.495218호텔1<NA><NA><NA>
3베니키아 더제주리조트서부권<NA>MOBILE2019-11-21 22:56:46제주특별자치도 제주시 한림읍 협재로 226 더제주리조트33.378341126.251152호텔1<NA><NA><NA>
4더코지 인 제주중문/서귀포<NA>MOBILE2019-11-30 22:24:47제주특별자치도 서귀포시 보목로70번길 3 보목동 58333.239658126.60332펜션1<NA><NA><NA>
5제주엘루이호텔제주시내권<NA>MOBILE2019-11-30 22:28:28제주특별자치도 제주시 서광로21길 1 (삼도일동)33.500187126.521822호텔1<NA><NA><NA>
6데이즈호텔 제주 서귀포 오션중문/서귀포<NA>MOBILE2019-12-01 00:25:24제주특별자치도 서귀포시 동홍로 7 데이즈호텔 제주 서귀포 오션33.249226126.567572호텔1<NA><NA><NA>
7밸류호텔 서귀포JS중문/서귀포<NA>MOBILE2019-12-01 00:34:08제주특별자치도 서귀포시 김정문화로 51 밸류호텔 서귀포JS33.251417126.510287호텔1<NA><NA><NA>
8써니빌리조트중문/서귀포<NA>MOBILE2019-12-01 02:19:24제주특별자치도 서귀포시 예래해안로 109-14 써니빌리조트33.235479126.374801펜션1<NA><NA><NA>
9성산아쿠아비치호텔동부권<NA>MOBILE2019-12-01 02:20:13제주특별자치도 서귀포시 성산읍 일주동로 4258 프론트33.448349126.911996호텔1<NA><NA><NA>
숙박명숙박지역명이용자광역시도코드접속장치명등록일시숙박주소숙박위도X좌표숙박경도Y좌표숙박유형명숙박객실갯수숙박테마명이용자연령대코드이용자성별코드
190레슬리호텔제주시내권<NA>PC2019-12-19 14:27:57제주특별자치도 제주시 광평길 3 레슬리호텔33.481089126.470649호텔1<NA><NA><NA>
191성산에 오거들랑동부권<NA>MOBILE2019-12-19 18:40:28제주특별자치도 서귀포시 성산읍 고성동서로 13-7 (고성리) 성산에오거들랑33.450303126.911468게스트하우스1<NA><NA><NA>
192해수스파호텔코자서부권<NA>MOBILE2019-12-19 19:25:04제주특별자치도 서귀포시 대정읍 최남단해안로 44 코자호텔33.216672126.252112호텔1<NA><NA><NA>
193더썸펜션동부권<NA>MOBILE2019-12-19 19:27:35제주특별자치도 서귀포시 성산읍 난고로42번길 110 103동33.443354126.906568펜션1<NA><NA><NA>
194성산아쿠아비치호텔동부권<NA>PC2019-12-19 19:52:52제주특별자치도 서귀포시 성산읍 일주동로 4258 프론트33.448349126.911996호텔1<NA><NA><NA>
195그림그리는펜션-힐링프로젝트동부권<NA>PC2019-12-19 20:08:07제주특별자치도 서귀포시 성산읍 수산리 3342-6 그림그리는팬션33.431317126.843881펜션1<NA><NA><NA>
196해뜨는집동부권<NA>PC2019-12-19 20:09:08제주특별자치도 서귀포시 성산읍 오조리 3-1433.469103126.922583펜션1<NA><NA><NA>
197빨간풍차펜션동부권<NA>MOBILE2019-12-19 00:00:03제주특별자치도 제주시 구좌읍 김녕리 3100 관리실33.548414126.74238펜션1<NA><NA><NA>
198성산에 오거들랑동부권<NA>MOBILE2019-12-19 10:49:03제주특별자치도 서귀포시 성산읍 고성동서로 13-7 (고성리) 성산에오거들랑33.450303126.911468게스트하우스1<NA><NA><NA>
199빨간풍차펜션동부권<NA>MOBILE2019-12-19 10:51:02제주특별자치도 제주시 구좌읍 김녕리 3100 관리실33.548414126.74238펜션1<NA><NA><NA>

Duplicate rows

Most frequently occurring

숙박명숙박지역명접속장치명등록일시숙박주소숙박위도X좌표숙박경도Y좌표숙박유형명숙박객실갯수# duplicates
0더포그레이스리조트동부권MOBILE2019-12-18 23:27:58제주특별자치도 서귀포시 성산읍 해맞이해안로 2670 더포그레이스호텔앤리조트33.473424126.910564리조트/풀빌라/콘도12
1라파로마휴양펜션서부권MOBILE2019-12-18 20:16:39제주특별자치도 제주시 한림읍 협재리 208633.392454126.247179펜션12
2비자림리조트동부권MOBILE2019-12-18 20:34:37제주특별자치도 제주시 구좌읍 충렬로 141-1 구 산림조합리조트33.511432126.847802리조트/풀빌라/콘도12
3빨간풍차펜션동부권MOBILE2019-12-19 00:00:03제주특별자치도 제주시 구좌읍 김녕리 3100 관리실33.548414126.74238펜션12
4빨간풍차펜션동부권MOBILE2019-12-19 10:51:02제주특별자치도 제주시 구좌읍 김녕리 3100 관리실33.548414126.74238펜션12
5성산아쿠아비치호텔동부권MOBILE2019-12-18 06:50:30제주특별자치도 서귀포시 성산읍 일주동로 4258 프론트33.448349126.911996호텔12
6성산에 오거들랑동부권MOBILE2019-12-19 10:49:03제주특별자치도 서귀포시 성산읍 고성동서로 13-7 (고성리) 성산에오거들랑33.450303126.911468게스트하우스12
7쇠소깍섬도리왓동부권MOBILE2019-12-18 20:54:13제주특별자치도 서귀포시 효돈순환로 217-3 쇠소깍섬도리왓33.256861126.621394펜션12
8천지연 크리스탈 호텔중문/서귀포MOBILE2019-12-18 23:39:13제주특별자치도 서귀포시 서귀동 650-1 천지연 크리스탈 호텔33.242352126.562103호텔12
9키아오라펜션동부권MOBILE2019-12-18 19:59:36제주특별자치도 서귀포시 성산읍 난고로42번길 3 키아오라33.434308126.904896펜션12