Overview

Dataset statistics

Number of variables13
Number of observations200
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.6 KiB
Average record size in memory110.7 B

Variable types

Text2
Categorical7
DateTime1
Numeric3

Dataset

DescriptionSample
Author(주)넥스트이지
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=NXESTAYNGINQI0000000

Alerts

이용자광역시도코드 is highly overall correlated with 숙박위도X좌표 and 7 other fieldsHigh correlation
접속장치명 is highly overall correlated with 이용자광역시도코드 and 2 other fieldsHigh correlation
숙박유형명 is highly overall correlated with 이용자광역시도코드 and 3 other fieldsHigh correlation
이용자성별코드 is highly overall correlated with 숙박위도X좌표 and 7 other fieldsHigh correlation
이용자연령대코드 is highly overall correlated with 숙박위도X좌표 and 7 other fieldsHigh correlation
숙박지역명 is highly overall correlated with 숙박위도X좌표 and 5 other fieldsHigh correlation
숙박위도X좌표 is highly overall correlated with 숙박지역명 and 4 other fieldsHigh correlation
숙박경도Y좌표 is highly overall correlated with 숙박지역명 and 4 other fieldsHigh correlation
숙박객실갯수 is highly overall correlated with 이용자광역시도코드 and 3 other fieldsHigh correlation
숙박테마명 is highly overall correlated with 숙박위도X좌표 and 4 other fieldsHigh correlation
이용자광역시도코드 is highly imbalanced (91.9%)Imbalance
숙박테마명 is highly imbalanced (66.6%)Imbalance
이용자연령대코드 is highly imbalanced (91.9%)Imbalance
이용자성별코드 is highly imbalanced (91.9%)Imbalance

Reproduction

Analysis started2023-12-10 06:17:06.085138
Analysis finished2023-12-10 06:17:10.084782
Duration4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

숙박명
Text

Distinct119
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:17:10.352592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.93
Min length4

Characters and Unicode

Total characters1586
Distinct characters233
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

Unique73 ?
Unique (%)36.5%

Sample

1st row루스톤 빌라앤호텔
2nd row귤낭하우스
3rd row크리스마스리조트 풀빌라
4th row끌림36.5
5th row해비치리조트
ValueCountFrequency (%)
제주 12
 
4.4%
제주통나무휴양펜션 7
 
2.6%
메종글래드제주(구 7
 
2.6%
호텔 7
 
2.6%
제주그랜드호텔 7
 
2.6%
바이더힐(by 5
 
1.8%
hill 5
 
1.8%
the 5
 
1.8%
해뜨는집 5
 
1.8%
그림리조트 4
 
1.5%
Other values (137) 210
76.6%
2023-12-10T15:17:10.967363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
 
4.7%
주 70
 
4.4%
제 68
 
4.3%
호 63
 
4.0%
텔 61
 
3.8%
리 60
 
3.8%
트 54
 
3.4%
션 47
 
3.0%
스 46
 
2.9%
펜 45
 
2.8%
Other values (223) 998
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1379
86.9%
Space Separator 74
 
4.7%
Uppercase Letter 60
 
3.8%
Lowercase Letter 20
 
1.3%
Open Punctuation 18
 
1.1%
Close Punctuation 18
 
1.1%
Other Punctuation 8
 
0.5%
Decimal Number 6
 
0.4%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 70
 
5.1%
제 68
 
4.9%
호 63
 
4.6%
텔 61
 
4.4%
리 60
 
4.4%
트 54
 
3.9%
션 47
 
3.4%
스 46
 
3.3%
펜 45
 
3.3%
이 41
 
3.0%
Other values (194) 824
59.8%
Uppercase Letter
ValueCountFrequency (%)
H 10
16.7%
L 10
16.7%
E 7
11.7%
B 7
11.7%
S 7
11.7%
I 5
8.3%
T 5
8.3%
Y 5
8.3%
W 2
 
3.3%
J 2
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
20.0%
i 2
10.0%
r 2
10.0%
n 2
10.0%
u 2
10.0%
c 2
10.0%
a 2
10.0%
s 2
10.0%
h 2
10.0%
Decimal Number
ValueCountFrequency (%)
5 3
50.0%
1 1
 
16.7%
6 1
 
16.7%
3 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
& 7
87.5%
. 1
 
12.5%
Space Separator
ValueCountFrequency (%)
74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1379
86.9%
Common 127
 
8.0%
Latin 80
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 70
 
5.1%
제 68
 
4.9%
호 63
 
4.6%
텔 61
 
4.4%
리 60
 
4.4%
트 54
 
3.9%
션 47
 
3.4%
스 46
 
3.3%
펜 45
 
3.3%
이 41
 
3.0%
Other values (194) 824
59.8%
Latin
ValueCountFrequency (%)
H 10
12.5%
L 10
12.5%
E 7
 
8.8%
B 7
 
8.8%
S 7
 
8.8%
I 5
 
6.2%
T 5
 
6.2%
Y 5
 
6.2%
e 4
 
5.0%
W 2
 
2.5%
Other values (9) 18
22.5%
Common
ValueCountFrequency (%)
74
58.3%
( 18
 
14.2%
) 18
 
14.2%
& 7
 
5.5%
- 3
 
2.4%
5 3
 
2.4%
1 1
 
0.8%
. 1
 
0.8%
6 1
 
0.8%
3 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1379
86.9%
ASCII 207
 
13.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74
35.7%
( 18
 
8.7%
) 18
 
8.7%
H 10
 
4.8%
L 10
 
4.8%
E 7
 
3.4%
& 7
 
3.4%
B 7
 
3.4%
S 7
 
3.4%
I 5
 
2.4%
Other values (19) 44
21.3%
Hangul
ValueCountFrequency (%)
주 70
 
5.1%
제 68
 
4.9%
호 63
 
4.6%
텔 61
 
4.4%
리 60
 
4.4%
트 54
 
3.9%
션 47
 
3.4%
스 46
 
3.3%
펜 45
 
3.3%
이 41
 
3.0%
Other values (194) 824
59.8%

숙박지역명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
동부권
64 
중문/서귀포
56 
서부권
46 
제주시내권
34 

Length

Max length6
Median length3
Mean length4.18
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동부권 64
32.0%
중문/서귀포 56
28.0%
서부권 46
23.0%
제주시내권 34
17.0%

Length

2023-12-10T15:17:11.205984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:17:11.433623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동부권 64
32.0%
중문/서귀포 56
28.0%
서부권 46
23.0%
제주시내권 34
17.0%

이용자광역시도코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
198 
50
 
2

Length

Max length4
Median length4
Mean length3.98
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> 198
99.0%
50 2
 
1.0%

Length

2023-12-10T15:17:11.667636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:17:11.863126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
99.0%
50 2
 
1.0%

접속장치명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
MOBILE
97 
PC
84 
Mobile
19 

Length

Max length6
Median length6
Mean length4.32
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
MOBILE 97
48.5%
PC 84
42.0%
Mobile 19
 
9.5%

Length

2023-12-10T15:17:12.060562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:17:12.247963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mobile 116
58.0%
pc 84
42.0%

조회일시
Date

Distinct196
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2019-12-17 00:00:12
Maximum2019-12-17 22:15:38
2023-12-10T15:17:12.490773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:17:12.747926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

숙박주소
Text

Distinct120
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:17:13.253892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length26.95
Min length10

Characters and Unicode

Total characters5390
Distinct characters239
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

Unique74 ?
Unique (%)37.0%

Sample

1st row제주시 애월읍 고내리 77
2nd row서귀포시 법환동 94-3번지
3rd row제주시 구좌읍 종달리 1422
4th row제주시 애월읍 고내리 363-1
5th row표선면 표선리 40-69
ValueCountFrequency (%)
제주특별자치도 162
 
15.8%
서귀포시 112
 
10.9%
제주시 87
 
8.5%
성산읍 31
 
3.0%
애월읍 19
 
1.9%
한림읍 13
 
1.3%
조천읍 12
 
1.2%
제주 11
 
1.1%
표선면 9
 
0.9%
안덕면 9
 
0.9%
Other values (299) 558
54.5%
2023-12-10T15:17:14.010070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
870
 
16.1%
주 279
 
5.2%
제 272
 
5.0%
시 201
 
3.7%
도 171
 
3.2%
치 167
 
3.1%
자 164
 
3.0%
별 162
 
3.0%
특 162
 
3.0%
1 151
 
2.8%
Other values (229) 2791
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3632
67.4%
Space Separator 870
 
16.1%
Decimal Number 777
 
14.4%
Dash Punctuation 86
 
1.6%
Open Punctuation 9
 
0.2%
Close Punctuation 9
 
0.2%
Uppercase Letter 4
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 279
 
7.7%
제 272
 
7.5%
시 201
 
5.5%
도 171
 
4.7%
치 167
 
4.6%
자 164
 
4.5%
별 162
 
4.5%
특 162
 
4.5%
서 142
 
3.9%
귀 125
 
3.4%
Other values (212) 1787
49.2%
Decimal Number
ValueCountFrequency (%)
1 151
19.4%
2 100
12.9%
4 87
11.2%
0 79
10.2%
8 70
9.0%
5 69
8.9%
3 69
8.9%
6 61
7.9%
9 47
 
6.0%
7 44
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
J 2
50.0%
S 2
50.0%
Space Separator
ValueCountFrequency (%)
870
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3632
67.4%
Common 1754
32.5%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 279
 
7.7%
제 272
 
7.5%
시 201
 
5.5%
도 171
 
4.7%
치 167
 
4.6%
자 164
 
4.5%
별 162
 
4.5%
특 162
 
4.5%
서 142
 
3.9%
귀 125
 
3.4%
Other values (212) 1787
49.2%
Common
ValueCountFrequency (%)
870
49.6%
1 151
 
8.6%
2 100
 
5.7%
4 87
 
5.0%
- 86
 
4.9%
0 79
 
4.5%
8 70
 
4.0%
5 69
 
3.9%
3 69
 
3.9%
6 61
 
3.5%
Other values (5) 112
 
6.4%
Latin
ValueCountFrequency (%)
J 2
50.0%
S 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3632
67.4%
ASCII 1758
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
870
49.5%
1 151
 
8.6%
2 100
 
5.7%
4 87
 
4.9%
- 86
 
4.9%
0 79
 
4.5%
8 70
 
4.0%
5 69
 
3.9%
3 69
 
3.9%
6 61
 
3.5%
Other values (7) 116
 
6.6%
Hangul
ValueCountFrequency (%)
주 279
 
7.7%
제 272
 
7.5%
시 201
 
5.5%
도 171
 
4.7%
치 167
 
4.6%
자 164
 
4.5%
별 162
 
4.5%
특 162
 
4.5%
서 142
 
3.9%
귀 125
 
3.4%
Other values (212) 1787
49.2%

숙박위도X좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct118
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.386098
Minimum33.216672
Maximum33.545513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:17:14.230677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.216672
5-th percentile33.241107
Q133.260244
median33.434308
Q333.477284
95-th percentile33.518075
Maximum33.545513
Range0.3288411
Interquartile range (IQR)0.2170404

Descriptive statistics

Standard deviation0.10678945
Coefficient of variation (CV)0.0031986201
Kurtosis-1.5883121
Mean33.386098
Median Absolute Deviation (MAD)0.0771243
Skewness-0.23991197
Sum6677.2197
Variance0.011403986
MonotonicityNot monotonic
2023-12-10T15:17:14.828856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.3512467 7
 
3.5%
33.4853079 7
 
3.5%
33.4442281 5
 
2.5%
33.4691031 5
 
2.5%
33.2411065 4
 
2.0%
33.516304 4
 
2.0%
33.2433586 4
 
2.0%
33.4433539 4
 
2.0%
33.477694 3
 
1.5%
33.4714445 3
 
1.5%
Other values (108) 154
77.0%
ValueCountFrequency (%)
33.2166718 1
 
0.5%
33.2360574 3
1.5%
33.2368373 1
 
0.5%
33.2374078 1
 
0.5%
33.2394912 1
 
0.5%
33.2396579 1
 
0.5%
33.2411065 4
2.0%
33.2412 1
 
0.5%
33.2414225 1
 
0.5%
33.2416805 1
 
0.5%
ValueCountFrequency (%)
33.5455129 1
 
0.5%
33.5452453 1
 
0.5%
33.5450968 1
 
0.5%
33.5439914 1
 
0.5%
33.5428318 2
1.0%
33.5423952 2
1.0%
33.5325288 1
 
0.5%
33.518075 2
1.0%
33.516304 4
2.0%
33.5145736 1
 
0.5%

숙박경도Y좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct118
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.56175
Minimum126.23786
Maximum126.93447
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:17:15.087129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.23786
5-th percentile126.29058
Q1126.40555
median126.51008
Q3126.68869
95-th percentile126.91503
Maximum126.93447
Range0.6966177
Interquartile range (IQR)0.28313702

Descriptive statistics

Standard deviation0.20378097
Coefficient of variation (CV)0.0016101309
Kurtosis-0.85913658
Mean126.56175
Median Absolute Deviation (MAD)0.1296575
Skewness0.4936581
Sum25312.349
Variance0.041526685
MonotonicityNot monotonic
2023-12-10T15:17:15.302453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8233233 7
 
3.5%
126.488528 7
 
3.5%
126.403553 5
 
2.5%
126.9225826 5
 
2.5%
126.5630898 4
 
2.0%
126.5036099 4
 
2.0%
126.5219282 4
 
2.0%
126.9065679 4
 
2.0%
126.3550441 3
 
1.5%
126.351256 3
 
1.5%
Other values (108) 154
77.0%
ValueCountFrequency (%)
126.2378553 1
0.5%
126.2396078 1
0.5%
126.2470912 1
0.5%
126.251033 1
0.5%
126.252112 1
0.5%
126.2628123 1
0.5%
126.2697824 1
0.5%
126.2705402 1
0.5%
126.2734617 2
1.0%
126.2914788 2
1.0%
ValueCountFrequency (%)
126.934473 1
 
0.5%
126.9225826 5
2.5%
126.9181682 3
1.5%
126.9150282 2
 
1.0%
126.9119961 2
 
1.0%
126.911468 2
 
1.0%
126.9108398 3
1.5%
126.9105636 2
 
1.0%
126.9065679 4
2.0%
126.9048957 3
1.5%

숙박유형명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
펜션
101 
호텔
62 
리조트/풀빌라/콘도
24 
게스트하우스
 
7
리조트/콘도
 
6

Length

Max length10
Median length2
Mean length3.22
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
펜션 101
50.5%
호텔 62
31.0%
리조트/풀빌라/콘도 24
 
12.0%
게스트하우스 7
 
3.5%
리조트/콘도 6
 
3.0%

Length

2023-12-10T15:17:15.564578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:17:15.786041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
펜션 101
50.5%
호텔 62
31.0%
리조트/풀빌라/콘도 24
 
12.0%
게스트하우스 7
 
3.5%
리조트/콘도 6
 
3.0%

숙박객실갯수
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.59
Minimum0
Maximum512
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:17:15.995192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile139.35
Maximum512
Range512
Interquartile range (IQR)0

Descriptive statistics

Standard deviation76.369058
Coefficient of variation (CV)3.8983695
Kurtosis26.575085
Mean19.59
Median Absolute Deviation (MAD)0
Skewness5.0366205
Sum3918
Variance5832.2331
MonotonicityNot monotonic
2023-12-10T15:17:16.178953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 161
80.5%
8 8
 
4.0%
5 6
 
3.0%
7 4
 
2.0%
295 3
 
1.5%
512 2
 
1.0%
12 2
 
1.0%
62 2
 
1.0%
16 1
 
0.5%
147 1
 
0.5%
Other values (10) 10
 
5.0%
ValueCountFrequency (%)
0 1
 
0.5%
1 161
80.5%
5 6
 
3.0%
7 4
 
2.0%
8 8
 
4.0%
12 2
 
1.0%
16 1
 
0.5%
19 1
 
0.5%
22 1
 
0.5%
24 1
 
0.5%
ValueCountFrequency (%)
512 2
1.0%
499 1
 
0.5%
295 3
1.5%
281 1
 
0.5%
215 1
 
0.5%
147 1
 
0.5%
146 1
 
0.5%
139 1
 
0.5%
70 1
 
0.5%
62 2
1.0%

숙박테마명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct17
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
164 
독채형
 
4
바닷가 독채형 조식가능
 
4
바닷가
 
4
조식가능 수영장
 
3
Other values (12)
21 

Length

Max length28
Median length4
Mean length4.885
Min length2

Unique

Unique6 ?
Unique (%)3.0%

Sample

1st row바닷가 허니문 풀빌라 조식가능 수영장 핫플레잇 스파
2nd row바닷가 독채형 조식가능
3rd row바닷가 풀빌라 수영장
4th row바닷가 허니문 수영장
5th row바닷가 허니문 수영장

Common Values

ValueCountFrequency (%)
<NA> 164
82.0%
독채형 4
 
2.0%
바닷가 독채형 조식가능 4
 
2.0%
바닷가 4
 
2.0%
조식가능 수영장 3
 
1.5%
바닷가 허니문 수영장 3
 
1.5%
단체 3
 
1.5%
허니문 조식가능 수영장 3
 
1.5%
독채형 조식가능 수영장 단체 2
 
1.0%
풀빌라 독채형 조식가능 수영장 스파 2
 
1.0%
Other values (7) 8
 
4.0%

Length

2023-12-10T15:17:16.448868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 164
65.6%
조식가능 20
 
8.0%
바닷가 16
 
6.4%
수영장 16
 
6.4%
독채형 12
 
4.8%
허니문 9
 
3.6%
단체 5
 
2.0%
풀빌라 4
 
1.6%
스파 3
 
1.2%
핫플레잇 1
 
0.4%

이용자연령대코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
198 
40
 
2

Length

Max length4
Median length4
Mean length3.98
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> 198
99.0%
40 2
 
1.0%

Length

2023-12-10T15:17:16.696768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:17:16.905910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
99.0%
40 2
 
1.0%

이용자성별코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
198 
1
 
2

Length

Max length4
Median length4
Mean length3.97
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> 198
99.0%
1 2
 
1.0%

Length

2023-12-10T15:17:17.112958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:17:17.273920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
99.0%
1 2
 
1.0%

Interactions

2023-12-10T15:17:08.789978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:17:07.172569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:17:07.742163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:17:09.058141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:17:07.332104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:17:07.947461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:17:09.273532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:17:07.549229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:17:08.333020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:17:17.399509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
숙박지역명접속장치명숙박위도X좌표숙박경도Y좌표숙박유형명숙박객실갯수숙박테마명
숙박지역명1.0000.1130.8290.9340.2320.1420.977
접속장치명0.1131.0000.1970.3220.2010.6320.701
숙박위도X좌표0.8290.1971.0000.8870.6300.7060.935
숙박경도Y좌표0.9340.3220.8871.0000.3800.1830.917
숙박유형명0.2320.2010.6300.3801.0000.4430.955
숙박객실갯수0.1420.6320.7060.1830.4431.0000.938
숙박테마명0.9770.7010.9350.9170.9550.9381.000
2023-12-10T15:17:17.583414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
숙박테마명이용자광역시도코드접속장치명숙박유형명이용자성별코드이용자연령대코드숙박지역명
숙박테마명1.000NaN0.4210.706NaNNaN0.635
이용자광역시도코드NaN1.0001.0001.0001.0001.0001.000
접속장치명0.4211.0001.0000.1531.0001.0000.106
숙박유형명0.7061.0000.1531.0001.0001.0000.190
이용자성별코드NaN1.0001.0001.0001.0001.0001.000
이용자연령대코드NaN1.0001.0001.0001.0001.0001.000
숙박지역명0.6351.0000.1060.1901.0001.0001.000
2023-12-10T15:17:17.814639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
숙박위도X좌표숙박경도Y좌표숙박객실갯수숙박지역명이용자광역시도코드접속장치명숙박유형명숙박테마명이용자연령대코드이용자성별코드
숙박위도X좌표1.0000.063-0.1590.6551.0000.1160.3070.6521.0001.000
숙박경도Y좌표0.0631.0000.1060.8321.0000.1990.1640.6031.0001.000
숙박객실갯수-0.1590.1061.0000.0911.0000.3250.3190.6531.0001.000
숙박지역명0.6550.8320.0911.0001.0000.1060.1900.6351.0001.000
이용자광역시도코드1.0001.0001.0001.0001.0001.0001.000NaN1.0001.000
접속장치명0.1160.1990.3250.1061.0001.0000.1530.4211.0001.000
숙박유형명0.3070.1640.3190.1901.0000.1531.0000.7061.0001.000
숙박테마명0.6520.6030.6530.635NaN0.4210.7061.000NaNNaN
이용자연령대코드1.0001.0001.0001.0001.0001.0001.000NaN1.0001.000
이용자성별코드1.0001.0001.0001.0001.0001.0001.000NaN1.0001.000

Missing values

2023-12-10T15:17:09.561763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:17:09.960747image/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

숙박명숙박지역명이용자광역시도코드접속장치명조회일시숙박주소숙박위도X좌표숙박경도Y좌표숙박유형명숙박객실갯수숙박테마명이용자연령대코드이용자성별코드
0루스톤 빌라앤호텔서부권<NA>Mobile2019-12-17 00:11:26제주시 애월읍 고내리 7733.472559126.352018펜션0바닷가 허니문 풀빌라 조식가능 수영장 핫플레잇 스파<NA><NA>
1귤낭하우스중문/서귀포<NA>PC2019-12-17 01:36:46서귀포시 법환동 94-3번지33.243359126.521928펜션5바닷가 독채형 조식가능<NA><NA>
2크리스마스리조트 풀빌라동부권<NA>Mobile2019-12-17 01:42:17제주시 구좌읍 종달리 142233.509124126.899704리조트/콘도12바닷가 풀빌라 수영장<NA><NA>
3끌림36.5서부권<NA>PC2019-12-17 03:19:20제주시 애월읍 고내리 363-133.470877126.347661펜션8바닷가 허니문 수영장<NA><NA>
4해비치리조트동부권<NA>PC2019-12-17 07:27:32표선면 표선리 40-6933.323448126.84478리조트/콘도215바닷가 허니문 수영장<NA><NA>
5제주이디펜션중문/서귀포<NA>Mobile2019-12-17 07:34:23서귀포시 서귀동 698-133.241107126.56309펜션7독채형<NA><NA>
6아이브리조트중문/서귀포<NA>Mobile2019-12-17 07:36:15서귀포시 산록남로 1966-3433.288421126.497675리조트/콘도62독채형 조식가능 수영장 단체<NA><NA>
7루나인제주제주시내권<NA>Mobile2019-12-17 07:36:30제주시 오래물길 1033.502681126.467347펜션8단체<NA><NA>
8비스타케이호텔(월드컵)중문/서귀포<NA>Mobile2019-12-17 07:36:47서귀포시 김정문화로41번길 10-6 (법환동 745-1)33.251937126.509877호텔146바닷가 조식가능 수영장<NA><NA>
9화이트캐슬중문/서귀포<NA>Mobile2019-12-17 07:37:16서귀포시 서호동 3033.245692126.52418펜션22바닷가<NA><NA>
숙박명숙박지역명이용자광역시도코드접속장치명조회일시숙박주소숙박위도X좌표숙박경도Y좌표숙박유형명숙박객실갯수숙박테마명이용자연령대코드이용자성별코드
190중문훼미리 리조트중문/서귀포<NA>MOBILE2019-12-17 00:59:58제주특별자치도 서귀포시 소보리당로164번길 83 중문훼미리 리조트33.268467126.386078리조트/풀빌라/콘도1<NA><NA><NA>
191라오체리조트중문/서귀포<NA>MOBILE2019-12-17 01:00:08제주특별자치도 서귀포시 강정동 852-133.236057126.496792리조트/풀빌라/콘도1<NA><NA><NA>
192제주통나무휴양펜션동부권<NA>PC2019-12-17 01:00:16제주특별자치도 서귀포시 표선면 하천리 158333.351247126.823323펜션1<NA><NA><NA>
193미르빌펜션&리조트서부권<NA>MOBILE2019-12-17 01:00:22제주특별자치도 서귀포시 안덕면 사계로114번길 87 미르빌펜션&리조트33.246002126.306052펜션1<NA><NA><NA>
194타워펜션제주시내권<NA>MOBILE2019-12-17 01:00:23제주특별자치도 제주시 용두암길 2 타워펜션33.514574126.510868펜션1<NA><NA><NA>
195보리게스트하우스동부권<NA>MOBILE2019-12-17 01:00:37제주특별자치도 제주시 구좌읍 송당리 1507 제주보리게스트하우스33.468251126.783658게스트하우스1<NA><NA><NA>
196제주비치하우스제주시내권<NA>MOBILE2019-12-17 01:01:10제주특별자치도 제주시 서해안로 456-2 제주비치하우스33.518075126.488451펜션1<NA><NA><NA>
197제주휴리조트동부권<NA>MOBILE2019-12-17 01:01:25제주특별자치도 서귀포시 성산읍 난고로 228 휴리조트33.420966126.894042리조트/풀빌라/콘도1<NA><NA><NA>
198하와이펜션제주시내권<NA>PC2019-12-17 01:02:26제주특별자치도 제주시 도두봉2길 75 하와이펜션33.507449126.476016펜션1<NA><NA><NA>
199다인리조트서부권<NA>PC2019-12-17 01:03:18제주특별자치도 제주시 애월읍 애월해안로 400-933.471444126.351256리조트/풀빌라/콘도1<NA><NA><NA>