Overview

Dataset statistics

Number of variables21
Number of observations100
Missing cells487
Missing cells (%)23.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.3 KiB
Average record size in memory177.3 B

Variable types

Categorical7
Text9
Unsupported3
Numeric2

Dataset

DescriptionSample
Author(주)넥스트이지
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=NXESNSCLCORGN0000000

Alerts

숙박 has constant value ""Constant
20191223 has constant value ""Constant
Unnamed: 7 is highly imbalanced (57.6%)Imbalance
Unnamed: 8 is highly imbalanced (50.3%)Imbalance
Unnamed: 3 has 100 (100.0%) missing valuesMissing
Unnamed: 5 has 100 (100.0%) missing valuesMissing
Unnamed: 6 has 100 (100.0%) missing valuesMissing
Unnamed: 14 has 56 (56.0%) missing valuesMissing
엘리베이터 has 2 (2.0%) missing valuesMissing
Unnamed: 17 has 48 (48.0%) missing valuesMissing
주차장 has 21 (21.0%) missing valuesMissing
Unnamed: 20 has 59 (59.0%) missing valuesMissing
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 06:15:53.364230
Analysis finished2023-12-10 06:15:54.144052
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

숙박
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
숙박
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
숙박 100
100.0%

Length

2023-12-10T15:15:54.213768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:15:54.335855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박 100
100.0%

중문관광단지
Text

Distinct70
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T15:15:54.606328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length3.06
Min length2

Characters and Unicode

Total characters306
Distinct characters134
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)55.0%

Sample

1st row이국적
2nd row제주쉬멍스파펜션
3rd row전망
4th row성산일출봉
5th row독채
ValueCountFrequency (%)
가성비 6
 
5.9%
가격 5
 
5.0%
신축 3
 
3.0%
조식 3
 
3.0%
전망 3
 
3.0%
독채 3
 
3.0%
인테리어 3
 
3.0%
수영장 3
 
3.0%
애견동반 3
 
3.0%
제주공항 3
 
3.0%
Other values (60) 66
65.3%
2023-12-10T15:15:55.116149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 16
 
5.2%
비 9
 
2.9%
성 8
 
2.6%
장 7
 
2.3%
산 6
 
2.0%
조 6
 
2.0%
주 6
 
2.0%
이 6
 
2.0%
수 5
 
1.6%
스 5
 
1.6%
Other values (124) 232
75.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
99.0%
Decimal Number 2
 
0.7%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 16
 
5.3%
비 9
 
3.0%
성 8
 
2.6%
장 7
 
2.3%
산 6
 
2.0%
조 6
 
2.0%
주 6
 
2.0%
이 6
 
2.0%
수 5
 
1.7%
스 5
 
1.7%
Other values (121) 229
75.6%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
99.0%
Common 3
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 16
 
5.3%
비 9
 
3.0%
성 8
 
2.6%
장 7
 
2.3%
산 6
 
2.0%
조 6
 
2.0%
주 6
 
2.0%
이 6
 
2.0%
수 5
 
1.7%
스 5
 
1.7%
Other values (121) 229
75.6%
Common
ValueCountFrequency (%)
4 1
33.3%
1
33.3%
1 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
99.0%
ASCII 3
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 16
 
5.3%
비 9
 
3.0%
성 8
 
2.6%
장 7
 
2.3%
산 6
 
2.0%
조 6
 
2.0%
주 6
 
2.0%
이 6
 
2.0%
수 5
 
1.7%
스 5
 
1.7%
Other values (121) 229
75.6%
ASCII
ValueCountFrequency (%)
4 1
33.3%
1
33.3%
1 1
33.3%

Unnamed: 2
Text

Distinct75
Distinct (%)75.8%
Missing1
Missing (%)1.0%
Memory size932.0 B
2023-12-10T15:15:55.405327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45
Mean length43.323232
Min length33

Characters and Unicode

Total characters4289
Distinct characters39
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)54.5%

Sample

1st rowhttps://m.blog.naver.com/jmhkjm/221305966321
2nd rowhttps://m.blog.naver.com/jejucs/220912256852
3rd rowhttps://kingwogur.blog.me/221450015616
4th rowhttps://blog.naver.com/sd2015/221255899284
5th rowhttps://m.blog.naver.com/goonu1205/221226384395
ValueCountFrequency (%)
https://dlwndud1974.blog.me/221732625957 4
 
4.0%
https://blog.naver.com/aurora9106/221607973615 3
 
3.0%
https://blog.naver.com/yjh257/221751952093 2
 
2.0%
https://blog.naver.com/jta0119/221659957656 2
 
2.0%
https://blog.naver.com/rhkrdms7/221678784026 2
 
2.0%
https://blog.naver.com/hchpo/221714702014 2
 
2.0%
https://blog.naver.com/arihappy/221588380899 2
 
2.0%
https://blog.naver.com/cutyuj/221337195107 2
 
2.0%
https://blog.naver.com/aurora9106/221388306140 2
 
2.0%
https://blog.naver.com/kwoncharm_e/221349758832 2
 
2.0%
Other values (65) 76
76.8%
2023-12-10T15:15:55.938929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 380
 
8.9%
2 313
 
7.3%
o 230
 
5.4%
t 212
 
4.9%
. 200
 
4.7%
1 195
 
4.5%
a 143
 
3.3%
h 140
 
3.3%
m 130
 
3.0%
s 130
 
3.0%
Other values (29) 2216
51.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2193
51.1%
Decimal Number 1408
32.8%
Other Punctuation 679
 
15.8%
Connector Punctuation 9
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 230
 
10.5%
t 212
 
9.7%
a 143
 
6.5%
h 140
 
6.4%
m 130
 
5.9%
s 130
 
5.9%
e 129
 
5.9%
l 128
 
5.8%
r 118
 
5.4%
g 115
 
5.2%
Other values (15) 718
32.7%
Decimal Number
ValueCountFrequency (%)
2 313
22.2%
1 195
13.8%
3 124
 
8.8%
6 122
 
8.7%
7 120
 
8.5%
9 117
 
8.3%
5 116
 
8.2%
0 114
 
8.1%
8 101
 
7.2%
4 86
 
6.1%
Other Punctuation
ValueCountFrequency (%)
/ 380
56.0%
. 200
29.5%
: 99
 
14.6%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2193
51.1%
Common 2096
48.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 230
 
10.5%
t 212
 
9.7%
a 143
 
6.5%
h 140
 
6.4%
m 130
 
5.9%
s 130
 
5.9%
e 129
 
5.9%
l 128
 
5.8%
r 118
 
5.4%
g 115
 
5.2%
Other values (15) 718
32.7%
Common
ValueCountFrequency (%)
/ 380
18.1%
2 313
14.9%
. 200
9.5%
1 195
9.3%
3 124
 
5.9%
6 122
 
5.8%
7 120
 
5.7%
9 117
 
5.6%
5 116
 
5.5%
0 114
 
5.4%
Other values (4) 295
14.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4289
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 380
 
8.9%
2 313
 
7.3%
o 230
 
5.4%
t 212
 
4.9%
. 200
 
4.7%
1 195
 
4.5%
a 143
 
3.3%
h 140
 
3.3%
m 130
 
3.0%
s 130
 
3.0%
Other values (29) 2216
51.7%

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

20191223
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20191223
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20191223
2nd row20191223
3rd row20191223
4th row20191223
5th row20191223

Common Values

ValueCountFrequency (%)
20191223 100
100.0%

Length

2023-12-10T15:15:56.131235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:15:56.249825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20191223 100
100.0%

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

Unnamed: 7
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
84 
30
10 
40
 
3
20
 
3

Length

Max length4
Median length4
Mean length3.68
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30
2nd row30
3rd row40
4th row20
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 84
84.0%
30 10
 
10.0%
40 3
 
3.0%
20 3
 
3.0%

Length

2023-12-10T15:15:56.370973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:15:56.528361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 84
84.0%
30 10
 
10.0%
40 3
 
3.0%
20 3
 
3.0%

Unnamed: 8
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
84 
2
10 
1
 
6

Length

Max length4
Median length4
Mean length3.52
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 84
84.0%
2 10
 
10.0%
1 6
 
6.0%

Length

2023-12-10T15:15:56.707480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:15:56.866730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 84
84.0%
2 10
 
10.0%
1 6
 
6.0%

중문와우펜션
Text

Distinct69
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T15:15:57.235755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.62
Min length3

Characters and Unicode

Total characters662
Distinct characters150
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

Unique41 ?
Unique (%)41.0%

Sample

1st row귤낭하우스
2nd row제주쉬멍스파펜션
3rd row시간여행휴양펜션
4th row아주좋은날펜션
5th row소담JJ펜션
ValueCountFrequency (%)
서귀포 5
 
4.2%
부영리조트 4
 
3.4%
설렘펜션 3
 
2.5%
호텔 3
 
2.5%
끌림36.5 2
 
1.7%
풀빌라 2
 
1.7%
서머셋 2
 
1.7%
제주신화월드 2
 
1.7%
함덕예쁜집하우스 2
 
1.7%
제주비치하우스 2
 
1.7%
Other values (67) 92
77.3%
2023-12-10T15:15:57.890306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 38
 
5.7%
트 34
 
5.1%
조 29
 
4.4%
스 28
 
4.2%
텔 22
 
3.3%
호 22
 
3.3%
펜 21
 
3.2%
션 21
 
3.2%
19
 
2.9%
이 18
 
2.7%
Other values (140) 410
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 618
93.4%
Space Separator 19
 
2.9%
Decimal Number 17
 
2.6%
Uppercase Letter 3
 
0.5%
Other Punctuation 2
 
0.3%
Close Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 38
 
6.1%
트 34
 
5.5%
조 29
 
4.7%
스 28
 
4.5%
텔 22
 
3.6%
호 22
 
3.6%
펜 21
 
3.4%
션 21
 
3.4%
이 18
 
2.9%
라 16
 
2.6%
Other values (127) 369
59.7%
Decimal Number
ValueCountFrequency (%)
5 5
29.4%
7 3
17.6%
3 3
17.6%
6 3
17.6%
0 2
 
11.8%
1 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
J 2
66.7%
Y 1
33.3%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 618
93.4%
Common 41
 
6.2%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 38
 
6.1%
트 34
 
5.5%
조 29
 
4.7%
스 28
 
4.5%
텔 22
 
3.6%
호 22
 
3.6%
펜 21
 
3.4%
션 21
 
3.4%
이 18
 
2.9%
라 16
 
2.6%
Other values (127) 369
59.7%
Common
ValueCountFrequency (%)
19
46.3%
5 5
 
12.2%
7 3
 
7.3%
3 3
 
7.3%
6 3
 
7.3%
. 2
 
4.9%
0 2
 
4.9%
) 1
 
2.4%
1 1
 
2.4%
- 1
 
2.4%
Latin
ValueCountFrequency (%)
J 2
66.7%
Y 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 618
93.4%
ASCII 44
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 38
 
6.1%
트 34
 
5.5%
조 29
 
4.7%
스 28
 
4.5%
텔 22
 
3.6%
호 22
 
3.6%
펜 21
 
3.4%
션 21
 
3.4%
이 18
 
2.9%
라 16
 
2.6%
Other values (127) 369
59.7%
ASCII
ValueCountFrequency (%)
19
43.2%
5 5
 
11.4%
7 3
 
6.8%
3 3
 
6.8%
6 3
 
6.8%
J 2
 
4.5%
. 2
 
4.5%
0 2
 
4.5%
) 1
 
2.3%
1 1
 
2.3%
Other values (3) 3
 
6.8%

서귀포시 중문동 1842-4
Text

Distinct69
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T15:15:58.387674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length15.63
Min length10

Characters and Unicode

Total characters1563
Distinct characters113
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)41.0%

Sample

1st row서귀포시 법환동 94-3번지
2nd row서귀포시 남원읍 태흥리 1923-1
3rd row제주시 애월읍 구엄리 1054-1
4th row서귀포시 성산읍 온평상하로 85
5th row서귀포시 남원읍 남원리 893
ValueCountFrequency (%)
서귀포시 63
 
17.5%
제주시 36
 
10.0%
안덕면 14
 
3.9%
애월읍 14
 
3.9%
성산읍 7
 
1.9%
조천읍 6
 
1.7%
남원읍 5
 
1.4%
연동 4
 
1.1%
중문 4
 
1.1%
고내리 4
 
1.1%
Other values (133) 203
56.4%
2023-12-10T15:15:59.129397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
 
16.6%
시 99
 
6.3%
1 72
 
4.6%
서 70
 
4.5%
귀 67
 
4.3%
포 66
 
4.2%
2 63
 
4.0%
로 53
 
3.4%
4 51
 
3.3%
주 40
 
2.6%
Other values (103) 722
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 897
57.4%
Decimal Number 370
23.7%
Space Separator 260
 
16.6%
Dash Punctuation 36
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 99
 
11.0%
서 70
 
7.8%
귀 67
 
7.5%
포 66
 
7.4%
로 53
 
5.9%
주 40
 
4.5%
제 37
 
4.1%
읍 35
 
3.9%
동 28
 
3.1%
리 22
 
2.5%
Other values (91) 380
42.4%
Decimal Number
ValueCountFrequency (%)
1 72
19.5%
2 63
17.0%
4 51
13.8%
6 32
8.6%
9 32
8.6%
5 28
 
7.6%
3 26
 
7.0%
7 26
 
7.0%
8 23
 
6.2%
0 17
 
4.6%
Space Separator
ValueCountFrequency (%)
260
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 897
57.4%
Common 666
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 99
 
11.0%
서 70
 
7.8%
귀 67
 
7.5%
포 66
 
7.4%
로 53
 
5.9%
주 40
 
4.5%
제 37
 
4.1%
읍 35
 
3.9%
동 28
 
3.1%
리 22
 
2.5%
Other values (91) 380
42.4%
Common
ValueCountFrequency (%)
260
39.0%
1 72
 
10.8%
2 63
 
9.5%
4 51
 
7.7%
- 36
 
5.4%
6 32
 
4.8%
9 32
 
4.8%
5 28
 
4.2%
3 26
 
3.9%
7 26
 
3.9%
Other values (2) 40
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 897
57.4%
ASCII 666
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
39.0%
1 72
 
10.8%
2 63
 
9.5%
4 51
 
7.7%
- 36
 
5.4%
6 32
 
4.8%
9 32
 
4.8%
5 28
 
4.2%
3 26
 
3.9%
7 26
 
3.9%
Other values (2) 40
 
6.0%
Hangul
ValueCountFrequency (%)
시 99
 
11.0%
서 70
 
7.8%
귀 67
 
7.5%
포 66
 
7.4%
로 53
 
5.9%
주 40
 
4.5%
제 37
 
4.1%
읍 35
 
3.9%
동 28
 
3.1%
리 22
 
2.5%
Other values (91) 380
42.4%

33.2544421
Real number (ℝ)

Distinct68
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.351604
Minimum33.232907
Maximum33.545513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:15:59.731968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.232907
5-th percentile33.23799
Q133.245944
median33.292999
Q333.471573
95-th percentile33.515265
Maximum33.545513
Range0.3126056
Interquartile range (IQR)0.22562898

Descriptive statistics

Standard deviation0.11344606
Coefficient of variation (CV)0.0034015174
Kurtosis-1.6623143
Mean33.351604
Median Absolute Deviation (MAD)0.05422855
Skewness0.36201076
Sum3335.1604
Variance0.012870009
MonotonicityNot monotonic
2023-12-10T15:15:59.981309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.241805 4
 
4.0%
33.2459923 3
 
3.0%
33.4519602 3
 
3.0%
33.288421 2
 
2.0%
33.2485349 2
 
2.0%
33.5145736 2
 
2.0%
33.518075 2
 
2.0%
33.3030199 2
 
2.0%
33.2458004 2
 
2.0%
33.5431516 2
 
2.0%
Other values (58) 76
76.0%
ValueCountFrequency (%)
33.2329073 1
1.0%
33.2357849 1
1.0%
33.2363247 1
1.0%
33.236866 2
2.0%
33.2380488 2
2.0%
33.2394912 2
2.0%
33.2397811 1
1.0%
33.2411065 1
1.0%
33.2411807 2
2.0%
33.2412 1
1.0%
ValueCountFrequency (%)
33.5455129 1
1.0%
33.5431516 2
2.0%
33.518075 2
2.0%
33.5151167 2
2.0%
33.5145736 2
2.0%
33.5112385 1
1.0%
33.5091244 2
2.0%
33.503027 1
1.0%
33.5026807 1
1.0%
33.4925065 1
1.0%

가깝다
Categorical

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
있다
38 
좋다
19 
가깝다
14 
하다
6 
저렴하다
5 
Other values (14)
18 

Length

Max length4
Median length2
Mean length2.4
Min length2

Unique

Unique10 ?
Unique (%)10.0%

Sample

1st row있다
2nd row깨끗하다
3rd row좋다
4th row가깝다
5th row있다

Common Values

ValueCountFrequency (%)
있다 38
38.0%
좋다 19
19.0%
가깝다 14
 
14.0%
하다 6
 
6.0%
저렴하다 5
 
5.0%
친절하다 2
 
2.0%
깨끗하다 2
 
2.0%
없다 2
 
2.0%
넓다 2
 
2.0%
할까 1
 
1.0%
Other values (9) 9
 
9.0%

Length

2023-12-10T15:16:00.249091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
있다 38
38.0%
좋다 19
19.0%
가깝다 14
 
14.0%
하다 6
 
6.0%
저렴하다 5
 
5.0%
친절하다 2
 
2.0%
깨끗하다 2
 
2.0%
없다 2
 
2.0%
넓다 2
 
2.0%
마시다 1
 
1.0%
Other values (9) 9
 
9.0%

126.4346358
Real number (ℝ)

Distinct68
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.51682
Minimum126.29148
Maximum126.93447
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:16:00.543444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.29148
5-th percentile126.30456
Q1126.37165
median126.49135
Q3126.5921
95-th percentile126.89986
Maximum126.93447
Range0.6429942
Interquartile range (IQR)0.2204504

Descriptive statistics

Standard deviation0.17302857
Coefficient of variation (CV)0.001367633
Kurtosis0.019477619
Mean126.51682
Median Absolute Deviation (MAD)0.11507805
Skewness0.84744238
Sum12651.682
Variance0.029938888
MonotonicityNot monotonic
2023-12-10T15:16:00.787730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.4226791 4
 
4.0%
126.3662987 3
 
3.0%
126.3079148 3
 
3.0%
126.4976751 2
 
2.0%
126.4103936 2
 
2.0%
126.5108679 2
 
2.0%
126.488451 2
 
2.0%
126.3929121 2
 
2.0%
126.4513405 2
 
2.0%
126.6598714 2
 
2.0%
Other values (58) 76
76.0%
ValueCountFrequency (%)
126.2914788 1
 
1.0%
126.2993236 2
2.0%
126.3032638 2
2.0%
126.3046261 1
 
1.0%
126.3064744 1
 
1.0%
126.3079148 3
3.0%
126.319075 2
2.0%
126.3279391 1
 
1.0%
126.3476609 2
2.0%
126.3524933 2
2.0%
ValueCountFrequency (%)
126.934473 1
1.0%
126.9119961 1
1.0%
126.9105636 1
1.0%
126.906148 1
1.0%
126.9028817 1
1.0%
126.8997044 2
2.0%
126.872259 2
2.0%
126.8447796 1
1.0%
126.7681829 1
1.0%
126.7252376 1
1.0%

Unnamed: 14
Text

MISSING 

Distinct39
Distinct (%)88.6%
Missing56
Missing (%)56.0%
Memory size932.0 B
2023-12-10T15:16:01.103155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.4545455
Min length1

Characters and Unicode

Total characters108
Distinct characters82
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

Unique35 ?
Unique (%)79.5%

Sample

1st row수영장
2nd row바다뷰
3rd row고급
4th row호캉스
5th row현무암
ValueCountFrequency (%)
친절 3
 
6.8%
호캉스 2
 
4.5%
고급 2
 
4.5%
바다뷰 2
 
4.5%
저렴 1
 
2.3%
가성비 1
 
2.3%
불가능 1
 
2.3%
하수구 1
 
2.3%
걱정 1
 
2.3%
탑 1
 
2.3%
Other values (29) 29
65.9%
2023-12-10T15:16:01.616240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 4
 
3.7%
친 3
 
2.8%
절 3
 
2.8%
무 2
 
1.9%
탑 2
 
1.9%
정 2
 
1.9%
이 2
 
1.9%
7 2
 
1.9%
수 2
 
1.9%
지 2
 
1.9%
Other values (72) 84
77.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104
96.3%
Decimal Number 4
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 4
 
3.8%
친 3
 
2.9%
절 3
 
2.9%
무 2
 
1.9%
탑 2
 
1.9%
정 2
 
1.9%
이 2
 
1.9%
수 2
 
1.9%
지 2
 
1.9%
존 2
 
1.9%
Other values (69) 80
76.9%
Decimal Number
ValueCountFrequency (%)
7 2
50.0%
1 1
25.0%
0 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104
96.3%
Common 4
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 4
 
3.8%
친 3
 
2.9%
절 3
 
2.9%
무 2
 
1.9%
탑 2
 
1.9%
정 2
 
1.9%
이 2
 
1.9%
수 2
 
1.9%
지 2
 
1.9%
존 2
 
1.9%
Other values (69) 80
76.9%
Common
ValueCountFrequency (%)
7 2
50.0%
1 1
25.0%
0 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104
96.3%
ASCII 4
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 4
 
3.8%
친 3
 
2.9%
절 3
 
2.9%
무 2
 
1.9%
탑 2
 
1.9%
정 2
 
1.9%
이 2
 
1.9%
수 2
 
1.9%
지 2
 
1.9%
존 2
 
1.9%
Other values (69) 80
76.9%
ASCII
ValueCountFrequency (%)
7 2
50.0%
1 1
25.0%
0 1
25.0%

엘리베이터
Text

MISSING 

Distinct75
Distinct (%)76.5%
Missing2
Missing (%)2.0%
Memory size932.0 B
2023-12-10T15:16:02.002905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length2.9897959
Min length2

Characters and Unicode

Total characters293
Distinct characters143
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)62.2%

Sample

1st row애완동물
2nd row텃밭
3rd row침구류
4th row잔디밭
5th row댕댕이
ValueCountFrequency (%)
수영장 5
 
5.0%
침구류 4
 
4.0%
가성비 3
 
3.0%
조식 3
 
3.0%
주차장 3
 
3.0%
실내 3
 
3.0%
객실 2
 
2.0%
애완동물 2
 
2.0%
프론트 2
 
2.0%
스파 2
 
2.0%
Other values (66) 71
71.0%
2023-12-10T15:16:02.699237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 13
 
4.4%
조 7
 
2.4%
침 7
 
2.4%
실 7
 
2.4%
수 6
 
2.0%
트 6
 
2.0%
식 6
 
2.0%
영 6
 
2.0%
스 6
 
2.0%
구 5
 
1.7%
Other values (133) 224
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 281
95.9%
Decimal Number 9
 
3.1%
Space Separator 2
 
0.7%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 13
 
4.6%
조 7
 
2.5%
침 7
 
2.5%
실 7
 
2.5%
수 6
 
2.1%
트 6
 
2.1%
식 6
 
2.1%
영 6
 
2.1%
스 6
 
2.1%
구 5
 
1.8%
Other values (126) 212
75.4%
Decimal Number
ValueCountFrequency (%)
4 3
33.3%
5 2
22.2%
1 2
22.2%
2 1
 
11.1%
3 1
 
11.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 281
95.9%
Common 12
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 13
 
4.6%
조 7
 
2.5%
침 7
 
2.5%
실 7
 
2.5%
수 6
 
2.1%
트 6
 
2.1%
식 6
 
2.1%
영 6
 
2.1%
스 6
 
2.1%
구 5
 
1.8%
Other values (126) 212
75.4%
Common
ValueCountFrequency (%)
4 3
25.0%
5 2
16.7%
2
16.7%
1 2
16.7%
2 1
 
8.3%
3 1
 
8.3%
. 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
95.9%
ASCII 12
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 13
 
4.6%
조 7
 
2.5%
침 7
 
2.5%
실 7
 
2.5%
수 6
 
2.1%
트 6
 
2.1%
식 6
 
2.1%
영 6
 
2.1%
스 6
 
2.1%
구 5
 
1.8%
Other values (126) 212
75.4%
ASCII
ValueCountFrequency (%)
4 3
25.0%
5 2
16.7%
2
16.7%
1 2
16.7%
2 1
 
8.3%
3 1
 
8.3%
. 1
 
8.3%

있다
Categorical

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
있다
42 
좋다
9 
깨끗하다
7 
가깝다
6 
넓다
6 
Other values (19)
30 

Length

Max length4
Median length2
Mean length2.34
Min length2

Unique

Unique14 ?
Unique (%)14.0%

Sample

1st row깨끗하다
2nd row불가
3rd row있다
4th row깨끗하다
5th row있다

Common Values

ValueCountFrequency (%)
있다 42
42.0%
좋다 9
 
9.0%
깨끗하다 7
 
7.0%
가깝다 6
 
6.0%
넓다 6
 
6.0%
하다 5
 
5.0%
맛있다 4
 
4.0%
좁다 3
 
3.0%
없다 2
 
2.0%
불가 2
 
2.0%
Other values (14) 14
 
14.0%

Length

2023-12-10T15:16:02.964176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
있다 42
42.0%
좋다 9
 
9.0%
깨끗하다 7
 
7.0%
가깝다 6
 
6.0%
넓다 6
 
6.0%
하다 5
 
5.0%
맛있다 4
 
4.0%
좁다 3
 
3.0%
없다 2
 
2.0%
불가 2
 
2.0%
Other values (14) 14
 
14.0%

Unnamed: 17
Text

MISSING 

Distinct46
Distinct (%)88.5%
Missing48
Missing (%)48.0%
Memory size932.0 B
2023-12-10T15:16:03.278444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.3269231
Min length1

Characters and Unicode

Total characters121
Distinct characters96
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)78.8%

Sample

1st row입실
2nd row추가요금
3rd row입실
4th row맛집
5th row포인트
ValueCountFrequency (%)
청결 3
 
5.7%
조식 2
 
3.8%
입실 2
 
3.8%
깔끔 2
 
3.8%
느낌 2
 
3.8%
추가요금 1
 
1.9%
아담함 1
 
1.9%
3층 1
 
1.9%
대형 1
 
1.9%
핏자 1
 
1.9%
Other values (37) 37
69.8%
2023-12-10T15:16:03.841976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 4
 
3.3%
청 3
 
2.5%
결 3
 
2.5%
2 3
 
2.5%
실 3
 
2.5%
가 3
 
2.5%
입 2
 
1.7%
느 2
 
1.7%
조 2
 
1.7%
낌 2
 
1.7%
Other values (86) 94
77.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 112
92.6%
Decimal Number 7
 
5.8%
Lowercase Letter 1
 
0.8%
Space Separator 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 4
 
3.6%
청 3
 
2.7%
결 3
 
2.7%
실 3
 
2.7%
가 3
 
2.7%
입 2
 
1.8%
느 2
 
1.8%
조 2
 
1.8%
낌 2
 
1.8%
층 2
 
1.8%
Other values (80) 86
76.8%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
4 2
28.6%
3 1
 
14.3%
8 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 112
92.6%
Common 8
 
6.6%
Latin 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 4
 
3.6%
청 3
 
2.7%
결 3
 
2.7%
실 3
 
2.7%
가 3
 
2.7%
입 2
 
1.8%
느 2
 
1.8%
조 2
 
1.8%
낌 2
 
1.8%
층 2
 
1.8%
Other values (80) 86
76.8%
Common
ValueCountFrequency (%)
2 3
37.5%
4 2
25.0%
3 1
 
12.5%
8 1
 
12.5%
1
 
12.5%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 112
92.6%
ASCII 9
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 4
 
3.6%
청 3
 
2.7%
결 3
 
2.7%
실 3
 
2.7%
가 3
 
2.7%
입 2
 
1.8%
느 2
 
1.8%
조 2
 
1.8%
낌 2
 
1.8%
층 2
 
1.8%
Other values (80) 86
76.8%
ASCII
ValueCountFrequency (%)
2 3
33.3%
4 2
22.2%
3 1
 
11.1%
8 1
 
11.1%
m 1
 
11.1%
1
 
11.1%

주차장
Text

MISSING 

Distinct60
Distinct (%)75.9%
Missing21
Missing (%)21.0%
Memory size932.0 B
2023-12-10T15:16:04.157852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.9493671
Min length2

Characters and Unicode

Total characters233
Distinct characters116
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

Unique47 ?
Unique (%)59.5%

Sample

1st row가족
2nd row마트
3rd row주차장
4th row오션뷰
5th row가격
ValueCountFrequency (%)
수영장 6
 
7.6%
가성비 4
 
5.1%
수압 2
 
2.5%
동문시장 2
 
2.5%
욕조 2
 
2.5%
바베큐 2
 
2.5%
성산일출봉 2
 
2.5%
실외수영장 2
 
2.5%
산책로 2
 
2.5%
조식 2
 
2.5%
Other values (50) 53
67.1%
2023-12-10T15:16:04.765798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 12
 
5.2%
장 12
 
5.2%
영 9
 
3.9%
가 7
 
3.0%
성 6
 
2.6%
조 5
 
2.1%
기 5
 
2.1%
비 4
 
1.7%
식 4
 
1.7%
산 4
 
1.7%
Other values (106) 165
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 232
99.6%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 12
 
5.2%
장 12
 
5.2%
영 9
 
3.9%
가 7
 
3.0%
성 6
 
2.6%
조 5
 
2.2%
기 5
 
2.2%
비 4
 
1.7%
식 4
 
1.7%
산 4
 
1.7%
Other values (105) 164
70.7%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 232
99.6%
Common 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 12
 
5.2%
장 12
 
5.2%
영 9
 
3.9%
가 7
 
3.0%
성 6
 
2.6%
조 5
 
2.2%
기 5
 
2.2%
비 4
 
1.7%
식 4
 
1.7%
산 4
 
1.7%
Other values (105) 164
70.7%
Common
ValueCountFrequency (%)
1 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 232
99.6%
ASCII 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 12
 
5.2%
장 12
 
5.2%
영 9
 
3.9%
가 7
 
3.0%
성 6
 
2.6%
조 5
 
2.2%
기 5
 
2.2%
비 4
 
1.7%
식 4
 
1.7%
산 4
 
1.7%
Other values (105) 164
70.7%
ASCII
ValueCountFrequency (%)
1 1
100.0%

넓다
Categorical

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
있다
38 
<NA>
22 
좋다
7 
가깝다
7 
하다
5 
Other values (16)
21 

Length

Max length4
Median length2
Mean length2.63
Min length2

Unique

Unique13 ?
Unique (%)13.0%

Sample

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

Common Values

ValueCountFrequency (%)
있다 38
38.0%
<NA> 22
22.0%
좋다 7
 
7.0%
가깝다 7
 
7.0%
하다 5
 
5.0%
넓다 4
 
4.0%
이다 2
 
2.0%
없다 2
 
2.0%
보이다 1
 
1.0%
맛있다 1
 
1.0%
Other values (11) 11
 
11.0%

Length

2023-12-10T15:16:05.015639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
있다 38
38.0%
na 22
22.0%
좋다 7
 
7.0%
가깝다 7
 
7.0%
하다 5
 
5.0%
넓다 4
 
4.0%
이다 2
 
2.0%
없다 2
 
2.0%
조용하다 1
 
1.0%
먹었다 1
 
1.0%
Other values (11) 11
 
11.0%

Unnamed: 20
Text

MISSING 

Distinct38
Distinct (%)92.7%
Missing59
Missing (%)59.0%
Memory size932.0 B
2023-12-10T15:16:05.321219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.3902439
Min length1

Characters and Unicode

Total characters98
Distinct characters77
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

Unique36 ?
Unique (%)87.8%

Sample

1st row전복죽
2nd row소음
3rd row가격
4th row2만원
5th row숙소
ValueCountFrequency (%)
수영장 3
 
7.3%
깔끔 2
 
4.9%
금으로 1
 
2.4%
충전기 1
 
2.4%
추천 1
 
2.4%
문섬 1
 
2.4%
신식 1
 
2.4%
복층 1
 
2.4%
규모 1
 
2.4%
갑 1
 
2.4%
Other values (28) 28
68.3%
2023-12-10T15:16:05.802302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 4
 
4.1%
수 3
 
3.1%
영 3
 
3.1%
전 2
 
2.0%
당 2
 
2.0%
인 2
 
2.0%
천 2
 
2.0%
넓 2
 
2.0%
추 2
 
2.0%
소 2
 
2.0%
Other values (67) 74
75.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95
96.9%
Decimal Number 3
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 4
 
4.2%
수 3
 
3.2%
영 3
 
3.2%
전 2
 
2.1%
당 2
 
2.1%
인 2
 
2.1%
천 2
 
2.1%
넓 2
 
2.1%
추 2
 
2.1%
소 2
 
2.1%
Other values (65) 71
74.7%
Decimal Number
ValueCountFrequency (%)
3 2
66.7%
2 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 95
96.9%
Common 3
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 4
 
4.2%
수 3
 
3.2%
영 3
 
3.2%
전 2
 
2.1%
당 2
 
2.1%
인 2
 
2.1%
천 2
 
2.1%
넓 2
 
2.1%
추 2
 
2.1%
소 2
 
2.1%
Other values (65) 71
74.7%
Common
ValueCountFrequency (%)
3 2
66.7%
2 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 95
96.9%
ASCII 3
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 4
 
4.2%
수 3
 
3.2%
영 3
 
3.2%
전 2
 
2.1%
당 2
 
2.1%
인 2
 
2.1%
천 2
 
2.1%
넓 2
 
2.1%
추 2
 
2.1%
소 2
 
2.1%
Other values (65) 71
74.7%
ASCII
ValueCountFrequency (%)
3 2
66.7%
2 1
33.3%

Sample

숙박중문관광단지Unnamed: 2Unnamed: 320191223Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8중문와우펜션서귀포시 중문동 1842-433.2544421가깝다126.4346358Unnamed: 14엘리베이터있다Unnamed: 17주차장넓다Unnamed: 20
0숙박이국적https://m.blog.naver.com/jmhkjm/221305966321<NA>20191223<NA><NA>302귤낭하우스서귀포시 법환동 94-3번지33.243359있다126.521928<NA><NA>깨끗하다<NA><NA><NA><NA>
1숙박제주쉬멍스파펜션https://m.blog.naver.com/jejucs/220912256852<NA>20191223<NA><NA>302제주쉬멍스파펜션서귀포시 남원읍 태흥리 1923-133.289788깨끗하다126.725238<NA>애완동물불가입실<NA>조용하다<NA>
2숙박전망<NA><NA>20191223<NA><NA>401시간여행휴양펜션제주시 애월읍 구엄리 1054-133.471889좋다126.375954<NA>텃밭있다<NA><NA><NA><NA>
3숙박성산일출봉https://kingwogur.blog.me/221450015616<NA>20191223<NA><NA>202아주좋은날펜션서귀포시 성산읍 온평상하로 8533.404271가깝다126.902882<NA>침구류깨끗하다<NA><NA><NA><NA>
4숙박독채https://blog.naver.com/sd2015/221255899284<NA>20191223<NA><NA><NA><NA>소담JJ펜션서귀포시 남원읍 남원리 89333.296209있다126.710498<NA>잔디밭있다<NA>가족<NA><NA>
5숙박성산일출봉https://m.blog.naver.com/goonu1205/221226384395<NA>20191223<NA><NA><NA><NA>더썸펜션서귀포시 성산읍 고성리 난고로 42번길 11033.440872가깝다126.906148<NA>댕댕이기르다<NA>마트가깝다<NA>
6숙박가격https://blog.naver.com/kl2214/221077297146<NA>20191223<NA><NA><NA><NA>도라미펜션서귀포시 신효동 92433.260265저렴하다126.609557<NA>잔디밭있다<NA>주차장넓다<NA>
7숙박가격https://blog.naver.com/woomawang83/221633640208<NA>20191223<NA><NA><NA><NA>씨앤힐스파펜션제주시 애월읍 애월해안로 41233.472922저렴하다126.352493<NA>복층낮다<NA>오션뷰<NA><NA>
8숙박아동수영장https://blog.naver.com/woomawang83/221633640208<NA>20191223<NA><NA><NA><NA>씨앤힐스파펜션제주시 애월읍 애월해안로 41233.472922있다126.352493<NA>스파있다추가요금<NA><NA><NA>
9숙박제이큐브https://minjoo67572.blog.me/221652336665<NA>20191223<NA><NA><NA><NA>제이큐브서귀포시 안덕면 대평감산로 5533.245992친절하다126.366299<NA>주차장좁다<NA>가격저렴하다<NA>
숙박중문관광단지Unnamed: 2Unnamed: 320191223Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8중문와우펜션서귀포시 중문동 1842-433.2544421가깝다126.4346358Unnamed: 14엘리베이터있다Unnamed: 17주차장넓다Unnamed: 20
90숙박서비스https://blog.naver.com/miisgrida/221474492688<NA>20191223<NA><NA><NA><NA>풀빌랑소랑제주시 조천읍 대흘리 1089-1233.492506있다126.671644아쉬움24시간있다온수풀전기차있다충전기
91숙박북카페https://blog.naver.com/33fanta/221678909721<NA>20191223<NA><NA><NA><NA>북촌플레이스제주시 조천읍 일주동로 143733.545513있다126.688331<NA>너븐숭이4.3기념관가깝다<NA>한달살기있다<NA>
92숙박로비https://kyakya1633.blog.me/221753861904<NA>20191223<NA><NA>302더퍼스트70 호텔서귀포시 명동로 4633.247252넓다126.5668471층욕조있다<NA>수압아쉽다<NA>
93숙박가성비https://kyakya1633.blog.me/221753861904<NA>20191223<NA><NA>302더퍼스트70 호텔서귀포시 명동로 4633.247252좋다126.566847<NA>일출뷰있다섶섬<NA><NA><NA>
94숙박서비스https://blog.naver.com/rsa119/220942034492<NA>20191223<NA><NA><NA><NA>중문훼미리 리조트서귀포시 소보리당로164번길 8333.268467크다126.386078차이방음없다<NA><NA><NA><NA>
95숙박주차시설https://blog.naver.com/yjh257/221751952093<NA>20191223<NA><NA><NA><NA>케니스토리 인 서귀포서귀포시 동문로 4233.250095적다126.56497<NA>올레시장가깝다<NA>가성비좋다<NA>
96숙박다정이네https://blog.naver.com/yjh257/221751952093<NA>20191223<NA><NA><NA><NA>케니스토리 인 서귀포서귀포시 동문로 4233.250095가깝다126.56497<NA>실내좁다<NA><NA><NA><NA>
97숙박신축https://tak2chef.blog.me/221302906593<NA>20191223<NA><NA><NA><NA>호텔이디서귀포시 남원읍 태위로 690-333.279217있다126.72047깨끗함실내있다아담함수압좋다<NA>
98숙박힐링https://blog.naver.com/jta0119/221659957656<NA>20191223<NA><NA><NA><NA>함덕예쁜집하우스제주시 조천읍 함와로 28133.515117있다126.677818정원프론트있다24시간분위기있다편안함
99숙박애견동반https://blog.naver.com/jta0119/221659957656<NA>20191223<NA><NA><NA><NA>함덕예쁜집하우스제주시 조천읍 함와로 28133.515117있다126.677818<NA>라이트아트페스타가깝다<NA><NA><NA><NA>