Overview

Dataset statistics

Number of variables9
Number of observations103
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory76.3 B

Variable types

Text4
Numeric3
Categorical2

Dataset

Description제주특별자치도 서귀포시 관내 호스텔업의 관한 데이터로 상호명, 소재지, 객실수, 연락처, 위치정보 등 정보를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/15056049/fileData.do

Alerts

비고 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
상호명 has unique valuesUnique
소재지 has unique valuesUnique
지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:58:53.633613
Analysis finished2023-12-12 07:58:55.028508
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-12T16:58:55.272111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length6.9029126
Min length1

Characters and Unicode

Total characters711
Distinct characters202
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)100.0%

Sample

1st row누가빌리지호스텔
2nd row제이하우스
3rd row비울채울
4th row오션트리
5th row올레요리조트
ValueCountFrequency (%)
제주 7
 
4.8%
호텔 5
 
3.4%
리조트 3
 
2.1%
㈜알파캠프 2
 
1.4%
the 2
 
1.4%
더 2
 
1.4%
스파호텔코자 1
 
0.7%
더블루제주 1
 
0.7%
레지나펜션 1
 
0.7%
해리안호텔 1
 
0.7%
Other values (120) 120
82.8%
2023-12-12T16:58:55.760515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 49
 
6.9%
텔 49
 
6.9%
스 43
 
6.0%
42
 
5.9%
리 33
 
4.6%
이 24
 
3.4%
트 22
 
3.1%
제 19
 
2.7%
조 18
 
2.5%
주 16
 
2.3%
Other values (192) 396
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 615
86.5%
Space Separator 42
 
5.9%
Uppercase Letter 37
 
5.2%
Decimal Number 7
 
1.0%
Other Symbol 4
 
0.6%
Lowercase Letter 3
 
0.4%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 49
 
8.0%
텔 49
 
8.0%
스 43
 
7.0%
리 33
 
5.4%
이 24
 
3.9%
트 22
 
3.6%
제 19
 
3.1%
조 18
 
2.9%
주 16
 
2.6%
아 13
 
2.1%
Other values (163) 329
53.5%
Uppercase Letter
ValueCountFrequency (%)
E 5
13.5%
T 5
13.5%
A 3
 
8.1%
J 3
 
8.1%
H 3
 
8.1%
K 2
 
5.4%
M 2
 
5.4%
B 2
 
5.4%
S 2
 
5.4%
L 2
 
5.4%
Other values (6) 8
21.6%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
1 2
28.6%
9 1
14.3%
3 1
14.3%
6 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
h 1
33.3%
e 1
33.3%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
42
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 619
87.1%
Common 52
 
7.3%
Latin 40
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 49
 
7.9%
텔 49
 
7.9%
스 43
 
6.9%
리 33
 
5.3%
이 24
 
3.9%
트 22
 
3.6%
제 19
 
3.1%
조 18
 
2.9%
주 16
 
2.6%
아 13
 
2.1%
Other values (164) 333
53.8%
Latin
ValueCountFrequency (%)
E 5
12.5%
T 5
12.5%
A 3
 
7.5%
J 3
 
7.5%
H 3
 
7.5%
K 2
 
5.0%
M 2
 
5.0%
B 2
 
5.0%
S 2
 
5.0%
L 2
 
5.0%
Other values (9) 11
27.5%
Common
ValueCountFrequency (%)
42
80.8%
2 2
 
3.8%
1 2
 
3.8%
9 1
 
1.9%
3 1
 
1.9%
) 1
 
1.9%
( 1
 
1.9%
' 1
 
1.9%
6 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 615
86.5%
ASCII 92
 
12.9%
None 4
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 49
 
8.0%
텔 49
 
8.0%
스 43
 
7.0%
리 33
 
5.4%
이 24
 
3.9%
트 22
 
3.6%
제 19
 
3.1%
조 18
 
2.9%
주 16
 
2.6%
아 13
 
2.1%
Other values (163) 329
53.5%
ASCII
ValueCountFrequency (%)
42
45.7%
E 5
 
5.4%
T 5
 
5.4%
A 3
 
3.3%
J 3
 
3.3%
H 3
 
3.3%
K 2
 
2.2%
M 2
 
2.2%
2 2
 
2.2%
B 2
 
2.2%
Other values (18) 23
25.0%
None
ValueCountFrequency (%)
㈜ 4
100.0%

소재지
Text

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-12T16:58:56.183036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length23.320388
Min length18

Characters and Unicode

Total characters2402
Distinct characters117
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

Unique103 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 서귀포시 산록남로 2704
2nd row제주특별자치도 서귀포시 중산간서로 241
3rd row제주특별자치도 서귀포시 검은여로130번길 73
4th row제주특별자치도 서귀포시 월드컵로 188
5th row제주특별자치도 서귀포시 이어도로 720
ValueCountFrequency (%)
제주특별자치도 103
23.4%
서귀포시 103
23.4%
성산읍 14
 
3.2%
이어도로 7
 
1.6%
대정읍 6
 
1.4%
안덕면 6
 
1.4%
서성일로 4
 
0.9%
태평로 4
 
0.9%
사계북로 4
 
0.9%
중정로 3
 
0.7%
Other values (164) 187
42.4%
2023-12-12T16:58:56.786503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
338
 
14.1%
서 115
 
4.8%
도 111
 
4.6%
포 108
 
4.5%
제 107
 
4.5%
주 105
 
4.4%
시 104
 
4.3%
특 103
 
4.3%
별 103
 
4.3%
자 103
 
4.3%
Other values (107) 1105
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1674
69.7%
Decimal Number 362
 
15.1%
Space Separator 338
 
14.1%
Dash Punctuation 28
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 115
 
6.9%
도 111
 
6.6%
포 108
 
6.5%
제 107
 
6.4%
주 105
 
6.3%
시 104
 
6.2%
특 103
 
6.2%
별 103
 
6.2%
자 103
 
6.2%
치 103
 
6.2%
Other values (95) 612
36.6%
Decimal Number
ValueCountFrequency (%)
1 68
18.8%
2 57
15.7%
3 47
13.0%
4 34
9.4%
6 31
8.6%
0 31
8.6%
7 29
8.0%
8 27
 
7.5%
9 20
 
5.5%
5 18
 
5.0%
Space Separator
ValueCountFrequency (%)
338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1674
69.7%
Common 728
30.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 115
 
6.9%
도 111
 
6.6%
포 108
 
6.5%
제 107
 
6.4%
주 105
 
6.3%
시 104
 
6.2%
특 103
 
6.2%
별 103
 
6.2%
자 103
 
6.2%
치 103
 
6.2%
Other values (95) 612
36.6%
Common
ValueCountFrequency (%)
338
46.4%
1 68
 
9.3%
2 57
 
7.8%
3 47
 
6.5%
4 34
 
4.7%
6 31
 
4.3%
0 31
 
4.3%
7 29
 
4.0%
- 28
 
3.8%
8 27
 
3.7%
Other values (2) 38
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1674
69.7%
ASCII 728
30.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
338
46.4%
1 68
 
9.3%
2 57
 
7.8%
3 47
 
6.5%
4 34
 
4.7%
6 31
 
4.3%
0 31
 
4.3%
7 29
 
4.0%
- 28
 
3.8%
8 27
 
3.7%
Other values (2) 38
 
5.2%
Hangul
ValueCountFrequency (%)
서 115
 
6.9%
도 111
 
6.6%
포 108
 
6.5%
제 107
 
6.4%
주 105
 
6.3%
시 104
 
6.2%
특 103
 
6.2%
별 103
 
6.2%
자 103
 
6.2%
치 103
 
6.2%
Other values (95) 612
36.6%

지번주소
Text

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-12T16:58:57.174256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length23.184466
Min length19

Characters and Unicode

Total characters2388
Distinct characters73
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

Unique103 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 서귀포시 토평동 3201
2nd row제주특별자치도 서귀포시 강정동 3786-14
3rd row제주특별자치도 서귀포시 보목동 1569
4th row제주특별자치도 서귀포시 강정동 702-2
5th row제주특별자치도 서귀포시 강정동 2498-3
ValueCountFrequency (%)
제주특별자치도 103
23.4%
서귀포시 103
23.4%
서귀동 23
 
5.2%
성산읍 14
 
3.2%
강정동 10
 
2.3%
안덕면 7
 
1.6%
중문동 5
 
1.1%
사계리 5
 
1.1%
대정읍 5
 
1.1%
대포동 5
 
1.1%
Other values (132) 161
36.5%
2023-12-12T16:58:57.700076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
338
 
14.2%
서 130
 
5.4%
귀 126
 
5.3%
포 108
 
4.5%
시 105
 
4.4%
주 103
 
4.3%
제 103
 
4.3%
도 103
 
4.3%
치 103
 
4.3%
자 103
 
4.3%
Other values (63) 1066
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1532
64.2%
Decimal Number 442
 
18.5%
Space Separator 338
 
14.2%
Dash Punctuation 76
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 130
 
8.5%
귀 126
 
8.2%
포 108
 
7.0%
시 105
 
6.9%
주 103
 
6.7%
제 103
 
6.7%
도 103
 
6.7%
치 103
 
6.7%
자 103
 
6.7%
별 103
 
6.7%
Other values (51) 445
29.0%
Decimal Number
ValueCountFrequency (%)
1 81
18.3%
3 59
13.3%
2 57
12.9%
5 49
11.1%
4 39
8.8%
8 37
8.4%
7 34
7.7%
9 29
 
6.6%
0 29
 
6.6%
6 28
 
6.3%
Space Separator
ValueCountFrequency (%)
338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1532
64.2%
Common 856
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 130
 
8.5%
귀 126
 
8.2%
포 108
 
7.0%
시 105
 
6.9%
주 103
 
6.7%
제 103
 
6.7%
도 103
 
6.7%
치 103
 
6.7%
자 103
 
6.7%
별 103
 
6.7%
Other values (51) 445
29.0%
Common
ValueCountFrequency (%)
338
39.5%
1 81
 
9.5%
- 76
 
8.9%
3 59
 
6.9%
2 57
 
6.7%
5 49
 
5.7%
4 39
 
4.6%
8 37
 
4.3%
7 34
 
4.0%
9 29
 
3.4%
Other values (2) 57
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1532
64.2%
ASCII 856
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
338
39.5%
1 81
 
9.5%
- 76
 
8.9%
3 59
 
6.9%
2 57
 
6.7%
5 49
 
5.7%
4 39
 
4.6%
8 37
 
4.3%
7 34
 
4.0%
9 29
 
3.4%
Other values (2) 57
 
6.7%
Hangul
ValueCountFrequency (%)
서 130
 
8.5%
귀 126
 
8.2%
포 108
 
7.0%
시 105
 
6.9%
주 103
 
6.7%
제 103
 
6.7%
도 103
 
6.7%
치 103
 
6.7%
자 103
 
6.7%
별 103
 
6.7%
Other values (51) 445
29.0%

객실수
Real number (ℝ)

Distinct22
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.048544
Minimum16
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T16:58:57.859443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile20
Q120
median21
Q327
95-th percentile40
Maximum79
Range63
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.3948032
Coefficient of variation (CV)0.37506385
Kurtosis13.244568
Mean25.048544
Median Absolute Deviation (MAD)1
Skewness3.2542833
Sum2580
Variance88.262326
MonotonicityNot monotonic
2023-12-12T16:58:57.997868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20 46
44.7%
21 10
 
9.7%
23 7
 
6.8%
30 5
 
4.9%
25 4
 
3.9%
40 4
 
3.9%
28 4
 
3.9%
27 4
 
3.9%
24 3
 
2.9%
22 3
 
2.9%
Other values (12) 13
 
12.6%
ValueCountFrequency (%)
16 1
 
1.0%
20 46
44.7%
21 10
 
9.7%
22 3
 
2.9%
23 7
 
6.8%
24 3
 
2.9%
25 4
 
3.9%
26 1
 
1.0%
27 4
 
3.9%
28 4
 
3.9%
ValueCountFrequency (%)
79 1
 
1.0%
63 1
 
1.0%
58 1
 
1.0%
45 1
 
1.0%
42 1
 
1.0%
40 4
3.9%
36 1
 
1.0%
35 1
 
1.0%
32 1
 
1.0%
31 1
 
1.0%

연락처
Text

Distinct97
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-12T16:58:58.273653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.048544
Min length12

Characters and Unicode

Total characters1241
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)90.3%

Sample

1st row064-733-9977
2nd row064-739-7891
3rd row070-8900-3000
4th row064-739-1239
5th row064-739-8558
ValueCountFrequency (%)
064-784-7337 4
 
3.9%
064-805-7600 2
 
1.9%
064-792-0045 2
 
1.9%
064-762-8400 2
 
1.9%
064-733-2272 1
 
1.0%
064-738-1577 1
 
1.0%
064-732-1811 1
 
1.0%
064-733-3355 1
 
1.0%
064-739-3030 1
 
1.0%
064-730-0800 1
 
1.0%
Other values (87) 87
84.5%
2023-12-12T16:58:58.674876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 219
17.6%
- 206
16.6%
6 156
12.6%
7 137
11.0%
4 130
10.5%
3 102
8.2%
9 71
 
5.7%
2 65
 
5.2%
8 60
 
4.8%
1 48
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1035
83.4%
Dash Punctuation 206
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 219
21.2%
6 156
15.1%
7 137
13.2%
4 130
12.6%
3 102
9.9%
9 71
 
6.9%
2 65
 
6.3%
8 60
 
5.8%
1 48
 
4.6%
5 47
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 206
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1241
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 219
17.6%
- 206
16.6%
6 156
12.6%
7 137
11.0%
4 130
10.5%
3 102
8.2%
9 71
 
5.7%
2 65
 
5.2%
8 60
 
4.8%
1 48
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1241
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 219
17.6%
- 206
16.6%
6 156
12.6%
7 137
11.0%
4 130
10.5%
3 102
8.2%
9 71
 
5.7%
2 65
 
5.2%
8 60
 
4.8%
1 48
 
3.9%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.27656
Minimum33.216671
Maximum33.477516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T16:58:58.823404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.216671
5-th percentile33.232912
Q133.241296
median33.247193
Q333.260075
95-th percentile33.463248
Maximum33.477516
Range0.26084538
Interquartile range (IQR)0.018779445

Descriptive statistics

Standard deviation0.071171326
Coefficient of variation (CV)0.0021387826
Kurtosis2.3768982
Mean33.27656
Median Absolute Deviation (MAD)0.00701995
Skewness1.9815771
Sum3427.4856
Variance0.0050653576
MonotonicityNot monotonic
2023-12-12T16:58:59.247190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.29628425 1
 
1.0%
33.26080712 1
 
1.0%
33.24719314 1
 
1.0%
33.23359077 1
 
1.0%
33.2423234 1
 
1.0%
33.24236876 1
 
1.0%
33.25286066 1
 
1.0%
33.23696673 1
 
1.0%
33.24199914 1
 
1.0%
33.21667058 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
33.21667058 1
1.0%
33.22079501 1
1.0%
33.22454265 1
1.0%
33.2292818 1
1.0%
33.23284583 1
1.0%
33.23287176 1
1.0%
33.23327597 1
1.0%
33.23359077 1
1.0%
33.23389703 1
1.0%
33.23416127 1
1.0%
ValueCountFrequency (%)
33.47751596 1
1.0%
33.47445604 1
1.0%
33.47184786 1
1.0%
33.46911696 1
1.0%
33.4648205 1
1.0%
33.46367247 1
1.0%
33.45942884 1
1.0%
33.44180868 1
1.0%
33.4285598 1
1.0%
33.42855737 1
1.0%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.54913
Minimum126.18892
Maximum126.93514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T16:58:59.370453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.18892
5-th percentile126.29083
Q1126.44101
median126.55286
Q3126.57568
95-th percentile126.90953
Maximum126.93514
Range0.7462269
Interquartile range (IQR)0.1346763

Descriptive statistics

Standard deviation0.17621931
Coefficient of variation (CV)0.0013924971
Kurtosis0.3091115
Mean126.54913
Median Absolute Deviation (MAD)0.0580362
Skewness0.60507418
Sum13034.561
Variance0.031053245
MonotonicityNot monotonic
2023-12-12T16:58:59.503984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.5729389 1
 
1.0%
126.4854458 1
 
1.0%
126.561253 1
 
1.0%
126.5116505 1
 
1.0%
126.5620603 1
 
1.0%
126.5528644 1
 
1.0%
126.4214029 1
 
1.0%
126.4994895 1
 
1.0%
126.6016939 1
 
1.0%
126.2521122 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
126.1889162 1
1.0%
126.1904334 1
1.0%
126.2517656 1
1.0%
126.2521122 1
1.0%
126.2523218 1
1.0%
126.2905002 1
1.0%
126.2937851 1
1.0%
126.2990782 1
1.0%
126.299372 1
1.0%
126.3085124 1
1.0%
ValueCountFrequency (%)
126.9351431 1
1.0%
126.9329076 1
1.0%
126.9323751 1
1.0%
126.9187346 1
1.0%
126.9127032 1
1.0%
126.9095777 1
1.0%
126.9091369 1
1.0%
126.9081012 1
1.0%
126.894042 1
1.0%
126.8938026 1
1.0%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
없음
103 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 103
100.0%

Length

2023-12-12T16:58:59.675004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:58:59.778067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 103
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-09-15
103 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-15
2nd row2023-09-15
3rd row2023-09-15
4th row2023-09-15
5th row2023-09-15

Common Values

ValueCountFrequency (%)
2023-09-15 103
100.0%

Length

2023-12-12T16:58:59.866847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:58:59.967360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-15 103
100.0%

Interactions

2023-12-12T16:58:54.547114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:58:53.959936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:58:54.254519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:58:54.639679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:58:54.063862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:58:54.373651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:58:54.717339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:58:54.159569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:58:54.463320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:59:00.026868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객실수연락처위도경도
객실수1.0001.0000.0000.000
연락처1.0001.0001.0001.000
위도0.0001.0001.0000.808
경도0.0001.0000.8081.000
2023-12-12T16:59:00.154098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객실수위도경도
객실수1.0000.001-0.015
위도0.0011.0000.572
경도-0.0150.5721.000

Missing values

2023-12-12T16:58:54.834746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:58:54.968882image/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

상호명소재지지번주소객실수연락처위도경도비고데이터기준일자
0누가빌리지호스텔제주특별자치도 서귀포시 산록남로 2704제주특별자치도 서귀포시 토평동 320136064-733-997733.296284126.572939없음2023-09-15
1제이하우스제주특별자치도 서귀포시 중산간서로 241제주특별자치도 서귀포시 강정동 3786-1421064-739-789133.260807126.485446없음2023-09-15
2비울채울제주특별자치도 서귀포시 검은여로130번길 73제주특별자치도 서귀포시 보목동 156920070-8900-300033.249258126.589635없음2023-09-15
3오션트리제주특별자치도 서귀포시 월드컵로 188제주특별자치도 서귀포시 강정동 702-224064-739-123933.232872126.505294없음2023-09-15
4올레요리조트제주특별자치도 서귀포시 이어도로 720제주특별자치도 서귀포시 강정동 2498-323064-739-855833.23475126.492688없음2023-09-15
5코델리아호스텔제주특별자치도 서귀포시 성산읍 일주동로4120번길 23-16제주특별자치도 서귀포시 성산읍 오조리 937-122070-4548-220133.459429126.909578없음2023-09-15
6The BB's JEJU제주특별자치도 서귀포시 이어도로 760제주특별자치도 서귀포시 강정동 248020064-739-411433.235567126.496239없음2023-09-15
7해성파크텔제주특별자치도 서귀포시 천제연로 158-4제주특별자치도 서귀포시 중문동 2165-230064-738-505033.252274126.421344없음2023-09-15
8펠리스타운제주특별자치도 서귀포시 성산읍 시흥하동로50번길 23제주특별자치도 서귀포시 성산읍 시흥리 12-9820064-782-400333.474456126.908101없음2023-09-15
9비스비제주 앤 팜빌리지제주특별자치도 서귀포시 속골로 29-10제주특별자치도 서귀포시 호근동 1641-229064-739-510033.242865126.52772없음2023-09-15
상호명소재지지번주소객실수연락처위도경도비고데이터기준일자
93호텔 서귀피안제주특별자치도 서귀포시 보목로64번길 178제주특별자치도 서귀포시 보목동 145330064-735-145333.244416126.59054없음2023-09-15
94더 그랜드 섬오름제주특별자치도 서귀포시 막숙포로 118제주특별자치도 서귀포시 법환동 151879064-800-720033.232846126.509676없음2023-09-15
95㈜젠하이더웨이 트로피컬하이드어웨이제주특별자치도 서귀포시 대정읍 형제해안로 684제주특별자치도 서귀포시 안덕면 사계남로 186-820064-792-146133.229282126.308512없음2023-09-15
96빨간모자달팽이제주특별자치도 서귀포시 중앙로4번길 15제주특별자치도 서귀포시 서귀동 485-1번지40064-738-005933.245429126.563433없음2023-09-15
97호텔 스테이인터뷰 제주제주특별자치도 서귀포시 중문관광로 288제주특별자치도 서귀포시 대포동 169523064-738-195633.245911126.429483없음2023-09-15
98더클라우드 풀앤스파제주특별자치도 서귀포시 성산읍 한도로 269-37제주특별자치도 서귀포시 성산읍 성산리 308-423064-783-836633.469117126.935143없음2023-09-15
99제주 와일드제주특별자치도 서귀포시 논짓물로 28제주특별자치도 서귀포시 하예동 558-4160507-1498-073133.238757126.387478없음2023-09-15
100아누캄파(ANUKAMPA)제주특별자치도 서귀포시 이어도로 1060제주특별자치도 서귀포시 서호동 30-820064-739-881133.245735126.524081없음2023-09-15
101J두빛나래리조트제주특별자치도 서귀포시 안덕면 사계북로 109제주특별자치도 서귀포시 안덕면 사계리 1586-120064-792-004533.236989126.299372없음2023-09-15
102K두빛나래리조트제주특별자치도 서귀포시 안덕면 사계북로 107제주특별자치도 서귀포시 안덕면 사계리 1586-420064-792-004533.236751126.299078없음2023-09-15