Overview

Dataset statistics

Number of variables9
Number of observations78
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory76.7 B

Variable types

Categorical1
Text4
Numeric3
DateTime1

Dataset

Description제주특별자치도 서귀포시 관내 호텔업에 관한 데이터로 구분, 상호명, 소재지, 연락처, 위도경도 등 정보를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/15056048/fileData.do

Alerts

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 started2023-12-11 23:51:14.734203
Analysis finished2023-12-11 23:51:16.622852
Duration1.89 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size756.0 B
관광호텔업
42 
가족호텔업
30 
소형호텔업
5 
한국전통호텔업
 
1

Length

Max length7
Median length5
Mean length5.025641
Min length5

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
관광호텔업 42
53.8%
가족호텔업 30
38.5%
소형호텔업 5
 
6.4%
한국전통호텔업 1
 
1.3%

Length

2023-12-12T08:51:16.703944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:51:16.833462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광호텔업 42
53.8%
가족호텔업 30
38.5%
소형호텔업 5
 
6.4%
한국전통호텔업 1
 
1.3%

상호명
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T08:51:17.118249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.4615385
Min length3

Characters and Unicode

Total characters660
Distinct characters171
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

Unique78 ?
Unique (%)100.0%

Sample

1st row그랑빌 가족호텔
2nd row중문빌리지 가족호텔
3rd row송악리조트
4th row담앤루
5th row뷰티플리조트
ValueCountFrequency (%)
제주 9
 
7.2%
호텔 9
 
7.2%
가족호텔 4
 
3.2%
서귀포 3
 
2.4%
리조트 2
 
1.6%
hotel 2
 
1.6%
제주항공우주호텔 1
 
0.8%
1
 
0.8%
부영호텔 1
 
0.8%
중문호텔 1
 
0.8%
Other values (92) 92
73.6%
2023-12-12T08:51:17.617997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 60
 
9.1%
텔 60
 
9.1%
47
 
7.1%
리 27
 
4.1%
주 23
 
3.5%
제 21
 
3.2%
트 17
 
2.6%
조 16
 
2.4%
이 15
 
2.3%
아 13
 
2.0%
Other values (161) 361
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 559
84.7%
Space Separator 47
 
7.1%
Uppercase Letter 30
 
4.5%
Lowercase Letter 6
 
0.9%
Other Symbol 5
 
0.8%
Decimal Number 5
 
0.8%
Other Punctuation 4
 
0.6%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 60
 
10.7%
텔 60
 
10.7%
리 27
 
4.8%
주 23
 
4.1%
제 21
 
3.8%
트 17
 
3.0%
조 16
 
2.9%
이 15
 
2.7%
아 13
 
2.3%
스 12
 
2.1%
Other values (132) 295
52.8%
Uppercase Letter
ValueCountFrequency (%)
A 4
13.3%
L 4
13.3%
O 3
10.0%
H 3
10.0%
C 3
10.0%
E 3
10.0%
W 2
6.7%
T 2
6.7%
S 2
6.7%
J 1
 
3.3%
Other values (3) 3
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
16.7%
c 1
16.7%
y 1
16.7%
a 1
16.7%
p 1
16.7%
l 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
3 1
20.0%
5 1
20.0%
1 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
47
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 564
85.5%
Common 60
 
9.1%
Latin 36
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 60
 
10.6%
텔 60
 
10.6%
리 27
 
4.8%
주 23
 
4.1%
제 21
 
3.7%
트 17
 
3.0%
조 16
 
2.8%
이 15
 
2.7%
아 13
 
2.3%
스 12
 
2.1%
Other values (133) 300
53.2%
Latin
ValueCountFrequency (%)
A 4
11.1%
L 4
11.1%
O 3
 
8.3%
H 3
 
8.3%
C 3
 
8.3%
E 3
 
8.3%
W 2
 
5.6%
T 2
 
5.6%
S 2
 
5.6%
J 1
 
2.8%
Other values (9) 9
25.0%
Common
ValueCountFrequency (%)
47
78.3%
& 3
 
5.0%
2 2
 
3.3%
) 2
 
3.3%
( 2
 
3.3%
3 1
 
1.7%
5 1
 
1.7%
1 1
 
1.7%
. 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 559
84.7%
ASCII 96
 
14.5%
None 5
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 60
 
10.7%
텔 60
 
10.7%
리 27
 
4.8%
주 23
 
4.1%
제 21
 
3.8%
트 17
 
3.0%
조 16
 
2.9%
이 15
 
2.7%
아 13
 
2.3%
스 12
 
2.1%
Other values (132) 295
52.8%
ASCII
ValueCountFrequency (%)
47
49.0%
A 4
 
4.2%
L 4
 
4.2%
& 3
 
3.1%
O 3
 
3.1%
H 3
 
3.1%
C 3
 
3.1%
E 3
 
3.1%
2 2
 
2.1%
) 2
 
2.1%
Other values (18) 22
22.9%
None
ValueCountFrequency (%)
㈜ 5
100.0%

소재지
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T08:51:18.045725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length24.230769
Min length19

Characters and Unicode

Total characters1890
Distinct characters103
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

Unique78 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 서귀포시 중문관광로 17
2nd row제주특별자치도 서귀포시 예래로 270
3rd row제주특별자치도 서귀포시 대정읍 형제해안로 256-5
4th row제주특별자치도 서귀포시 이어도로343번길 63
5th row제주특별자치도 서귀포시 이어도로253번길 2
ValueCountFrequency (%)
제주특별자치도 78
22.8%
서귀포시 78
22.8%
성산읍 16
 
4.7%
대정읍 6
 
1.8%
중문관광로72번길 5
 
1.5%
해맞이해안로 4
 
1.2%
안덕면 4
 
1.2%
이어도로 4
 
1.2%
중문관광로 4
 
1.2%
최남단해안로30번길 3
 
0.9%
Other values (119) 140
40.9%
2023-12-12T08:51:18.636378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
264
 
14.0%
도 84
 
4.4%
서 84
 
4.4%
주 83
 
4.4%
제 81
 
4.3%
포 79
 
4.2%
시 79
 
4.2%
치 78
 
4.1%
자 78
 
4.1%
별 78
 
4.1%
Other values (93) 902
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1332
70.5%
Decimal Number 282
 
14.9%
Space Separator 264
 
14.0%
Dash Punctuation 12
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 84
 
6.3%
서 84
 
6.3%
주 83
 
6.2%
제 81
 
6.1%
포 79
 
5.9%
시 79
 
5.9%
치 78
 
5.9%
자 78
 
5.9%
별 78
 
5.9%
특 78
 
5.9%
Other values (81) 530
39.8%
Decimal Number
ValueCountFrequency (%)
1 46
16.3%
2 45
16.0%
3 37
13.1%
7 30
10.6%
6 27
9.6%
5 26
9.2%
4 25
8.9%
0 23
8.2%
8 14
 
5.0%
9 9
 
3.2%
Space Separator
ValueCountFrequency (%)
264
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1332
70.5%
Common 558
29.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 84
 
6.3%
서 84
 
6.3%
주 83
 
6.2%
제 81
 
6.1%
포 79
 
5.9%
시 79
 
5.9%
치 78
 
5.9%
자 78
 
5.9%
별 78
 
5.9%
특 78
 
5.9%
Other values (81) 530
39.8%
Common
ValueCountFrequency (%)
264
47.3%
1 46
 
8.2%
2 45
 
8.1%
3 37
 
6.6%
7 30
 
5.4%
6 27
 
4.8%
5 26
 
4.7%
4 25
 
4.5%
0 23
 
4.1%
8 14
 
2.5%
Other values (2) 21
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1332
70.5%
ASCII 558
29.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
264
47.3%
1 46
 
8.2%
2 45
 
8.1%
3 37
 
6.6%
7 30
 
5.4%
6 27
 
4.8%
5 26
 
4.7%
4 25
 
4.5%
0 23
 
4.1%
8 14
 
2.5%
Other values (2) 21
 
3.8%
Hangul
ValueCountFrequency (%)
도 84
 
6.3%
서 84
 
6.3%
주 83
 
6.2%
제 81
 
6.1%
포 79
 
5.9%
시 79
 
5.9%
치 78
 
5.9%
자 78
 
5.9%
별 78
 
5.9%
특 78
 
5.9%
Other values (81) 530
39.8%

지번주소
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T08:51:18.923596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length23.346154
Min length19

Characters and Unicode

Total characters1821
Distinct characters66
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 서귀포시 색달동 2512
2nd row제주특별자치도 서귀포시 하예동 141
3rd row제주특별자치도 서귀포시 대정읍 상모리 78-1
4th row제주특별자치도 서귀포시 대포동 1181-1
5th row제주특별자치도 서귀포시 대포동 1266-1
ValueCountFrequency (%)
제주특별자치도 78
22.6%
서귀포시 78
22.6%
성산읍 16
 
4.6%
색달동 11
 
3.2%
서귀동 9
 
2.6%
대정읍 6
 
1.7%
강정동 6
 
1.7%
고성리 5
 
1.4%
성산리 4
 
1.2%
중문동 4
 
1.2%
Other values (103) 128
37.1%
2023-12-12T08:51:19.265646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
266
 
14.6%
서 92
 
5.1%
귀 87
 
4.8%
시 83
 
4.6%
포 82
 
4.5%
주 78
 
4.3%
제 78
 
4.3%
도 78
 
4.3%
치 78
 
4.3%
자 78
 
4.3%
Other values (56) 821
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1182
64.9%
Decimal Number 318
 
17.5%
Space Separator 266
 
14.6%
Dash Punctuation 54
 
3.0%
Control 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 92
 
7.8%
귀 87
 
7.4%
시 83
 
7.0%
포 82
 
6.9%
주 78
 
6.6%
제 78
 
6.6%
도 78
 
6.6%
치 78
 
6.6%
자 78
 
6.6%
별 78
 
6.6%
Other values (43) 370
31.3%
Decimal Number
ValueCountFrequency (%)
1 69
21.7%
2 54
17.0%
3 38
11.9%
6 32
10.1%
9 26
 
8.2%
8 23
 
7.2%
4 20
 
6.3%
5 20
 
6.3%
0 19
 
6.0%
7 17
 
5.3%
Space Separator
ValueCountFrequency (%)
266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1182
64.9%
Common 639
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 92
 
7.8%
귀 87
 
7.4%
시 83
 
7.0%
포 82
 
6.9%
주 78
 
6.6%
제 78
 
6.6%
도 78
 
6.6%
치 78
 
6.6%
자 78
 
6.6%
별 78
 
6.6%
Other values (43) 370
31.3%
Common
ValueCountFrequency (%)
266
41.6%
1 69
 
10.8%
2 54
 
8.5%
- 54
 
8.5%
3 38
 
5.9%
6 32
 
5.0%
9 26
 
4.1%
8 23
 
3.6%
4 20
 
3.1%
5 20
 
3.1%
Other values (3) 37
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1182
64.9%
ASCII 639
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
266
41.6%
1 69
 
10.8%
2 54
 
8.5%
- 54
 
8.5%
3 38
 
5.9%
6 32
 
5.0%
9 26
 
4.1%
8 23
 
3.6%
4 20
 
3.1%
5 20
 
3.1%
Other values (3) 37
 
5.8%
Hangul
ValueCountFrequency (%)
서 92
 
7.8%
귀 87
 
7.4%
시 83
 
7.0%
포 82
 
6.9%
주 78
 
6.6%
제 78
 
6.6%
도 78
 
6.6%
치 78
 
6.6%
자 78
 
6.6%
별 78
 
6.6%
Other values (43) 370
31.3%

객실수
Real number (ℝ)

Distinct57
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.97436
Minimum20
Maximum1720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T08:51:19.377757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile24
Q137.25
median55
Q395.5
95-th percentile290.85
Maximum1720
Range1700
Interquartile range (IQR)58.25

Descriptive statistics

Standard deviation205.22265
Coefficient of variation (CV)1.8832196
Kurtosis50.505089
Mean108.97436
Median Absolute Deviation (MAD)24
Skewness6.6029707
Sum8500
Variance42116.337
MonotonicityNot monotonic
2023-12-12T08:51:19.491422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 5
 
6.4%
42 3
 
3.8%
32 3
 
3.8%
55 3
 
3.8%
24 3
 
3.8%
31 3
 
3.8%
86 2
 
2.6%
41 2
 
2.6%
72 2
 
2.6%
74 2
 
2.6%
Other values (47) 50
64.1%
ValueCountFrequency (%)
20 1
 
1.3%
23 1
 
1.3%
24 3
3.8%
26 1
 
1.3%
30 5
6.4%
31 3
3.8%
32 3
3.8%
34 1
 
1.3%
35 1
 
1.3%
37 1
 
1.3%
ValueCountFrequency (%)
1720 1
1.3%
500 1
1.3%
429 1
1.3%
307 1
1.3%
288 1
1.3%
250 1
1.3%
248 1
1.3%
236 1
1.3%
225 1
1.3%
204 1
1.3%

연락처
Text

Distinct75
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T08:51:19.691459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.038462
Min length12

Characters and Unicode

Total characters939
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

Unique73 ?
Unique (%)93.6%

Sample

1st row064-739-9994
2nd row064-738-3151
3rd row064-794-6307
4th row064-739-6617
5th row064-738-7407
ValueCountFrequency (%)
064-792-4723 3
 
3.8%
064-784-2211 2
 
2.6%
0507-1332-4093 1
 
1.3%
064-786-5353 1
 
1.3%
064-766-1000 1
 
1.3%
064-731-5500 1
 
1.3%
064-802-8888 1
 
1.3%
064-801-8888 1
 
1.3%
064-733-3355 1
 
1.3%
064-738-9902 1
 
1.3%
Other values (65) 65
83.3%
2023-12-12T08:51:20.037253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 189
20.1%
- 156
16.6%
7 103
11.0%
6 98
10.4%
4 96
10.2%
3 76
8.1%
8 73
 
7.8%
9 40
 
4.3%
1 39
 
4.2%
5 35
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 783
83.4%
Dash Punctuation 156
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 189
24.1%
7 103
13.2%
6 98
12.5%
4 96
12.3%
3 76
9.7%
8 73
 
9.3%
9 40
 
5.1%
1 39
 
5.0%
5 35
 
4.5%
2 34
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 939
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 189
20.1%
- 156
16.6%
7 103
11.0%
6 98
10.4%
4 96
10.2%
3 76
8.1%
8 73
 
7.8%
9 40
 
4.3%
1 39
 
4.2%
5 35
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 939
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 189
20.1%
- 156
16.6%
7 103
11.0%
6 98
10.4%
4 96
10.2%
3 76
8.1%
8 73
 
7.8%
9 40
 
4.3%
1 39
 
4.2%
5 35
 
3.7%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.29638
Minimum33.211724
Maximum33.475182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T08:51:20.156478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.211724
5-th percentile33.21957
Q133.243509
median33.252628
Q333.318525
95-th percentile33.467618
Maximum33.475182
Range0.26345803
Interquartile range (IQR)0.075016613

Descriptive statistics

Standard deviation0.086219466
Coefficient of variation (CV)0.0025894546
Kurtosis-0.13797463
Mean33.29638
Median Absolute Deviation (MAD)0.01173253
Skewness1.2530642
Sum2597.1177
Variance0.0074337964
MonotonicityNot monotonic
2023-12-12T08:51:20.269220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.25639092 1
 
1.3%
33.25287178 1
 
1.3%
33.46369813 1
 
1.3%
33.24103769 1
 
1.3%
33.24344043 1
 
1.3%
33.2425599 1
 
1.3%
33.25189169 1
 
1.3%
33.24050369 1
 
1.3%
33.24484291 1
 
1.3%
33.25421861 1
 
1.3%
Other values (68) 68
87.2%
ValueCountFrequency (%)
33.21172375 1
1.3%
33.21773243 1
1.3%
33.2177382 1
1.3%
33.21774348 1
1.3%
33.21989214 1
1.3%
33.23287587 1
1.3%
33.23410164 1
1.3%
33.23499367 1
1.3%
33.23665431 1
1.3%
33.23887155 1
1.3%
ValueCountFrequency (%)
33.47518178 1
1.3%
33.47466012 1
1.3%
33.47414477 1
1.3%
33.4734228 1
1.3%
33.46659374 1
1.3%
33.4664971 1
1.3%
33.46369813 1
1.3%
33.46234879 1
1.3%
33.45911381 1
1.3%
33.45492788 1
1.3%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.55649
Minimum126.24707
Maximum126.93434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T08:51:20.375201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.24707
5-th percentile126.28541
Q1126.41061
median126.50478
Q3126.6825
95-th percentile126.9203
Maximum126.93434
Range0.6872617
Interquartile range (IQR)0.27189562

Descriptive statistics

Standard deviation0.21562606
Coefficient of variation (CV)0.001703793
Kurtosis-0.83681394
Mean126.55649
Median Absolute Deviation (MAD)0.0952748
Skewness0.68816949
Sum9871.406
Variance0.046494598
MonotonicityNot monotonic
2023-12-12T08:51:20.486968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.4152638 1
 
1.3%
126.5083452 1
 
1.3%
126.9343367 1
 
1.3%
126.5642749 1
 
1.3%
126.5533139 1
 
1.3%
126.4232474 1
 
1.3%
126.4223726 1
 
1.3%
126.5650326 1
 
1.3%
126.5534133 1
 
1.3%
126.4114343 1
 
1.3%
Other values (68) 68
87.2%
ValueCountFrequency (%)
126.247075 1
1.3%
126.2505352 1
1.3%
126.2507221 1
1.3%
126.2509158 1
1.3%
126.2915026 1
1.3%
126.2932591 1
1.3%
126.2945827 1
1.3%
126.316352 1
1.3%
126.3279382 1
1.3%
126.3514096 1
1.3%
ValueCountFrequency (%)
126.9343367 1
1.3%
126.9310366 1
1.3%
126.9310256 1
1.3%
126.9308466 1
1.3%
126.9184414 1
1.3%
126.9183043 1
1.3%
126.9181684 1
1.3%
126.9156981 1
1.3%
126.9119962 1
1.3%
126.9110172 1
1.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum2023-10-04 00:00:00
Maximum2023-10-04 00:00:00
2023-12-12T08:51:20.574096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:51:20.643409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:51:16.052374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:51:15.164895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:51:15.784539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:51:16.183094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:51:15.263032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:51:15.867900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:51:16.294703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:51:15.363428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:51:15.950168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:51:20.700864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분상호명소재지지번주소객실수연락처위도경도
구분1.0001.0001.0001.0000.0001.0000.6720.624
상호명1.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.000
객실수0.0001.0001.0001.0001.0001.0000.6670.000
연락처1.0001.0001.0001.0001.0001.0001.0001.000
위도0.6721.0001.0001.0000.6671.0001.0000.864
경도0.6241.0001.0001.0000.0001.0000.8641.000
2023-12-12T08:51:20.787242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객실수위도경도구분
객실수1.0000.2130.0520.000
위도0.2131.0000.5850.343
경도0.0520.5851.0000.406
구분0.0000.3430.4061.000

Missing values

2023-12-12T08:51:16.416172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:51:16.572172image/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

구분상호명소재지지번주소객실수연락처위도경도데이터기준일자
0가족호텔업그랑빌 가족호텔제주특별자치도 서귀포시 중문관광로 17제주특별자치도 서귀포시 색달동 251242064-739-999433.256391126.4152642023-10-04
1가족호텔업중문빌리지 가족호텔제주특별자치도 서귀포시 예래로 270제주특별자치도 서귀포시 하예동 14130064-738-315133.242725126.3851312023-10-04
2가족호텔업송악리조트제주특별자치도 서귀포시 대정읍 형제해안로 256-5제주특별자치도 서귀포시 대정읍 상모리 78-130064-794-630733.211724126.2915032023-10-04
3가족호텔업담앤루제주특별자치도 서귀포시 이어도로343번길 63제주특별자치도 서귀포시 대포동 1181-143064-739-661733.245852126.4514682023-10-04
4가족호텔업뷰티플리조트제주특별자치도 서귀포시 이어도로253번길 2제주특별자치도 서귀포시 대포동 1266-132064-738-740733.243713126.4466662023-10-04
5가족호텔업중문리조트제주특별자치도 서귀포시 색달로 117제주특별자치도 서귀포시 색달동 1821-344064-738-008533.262579126.4156432023-10-04
6가족호텔업아라온리조트제주특별자치도 서귀포시 소보리당로 220제주특별자치도 서귀포시 상예동 285255064-738-930033.262176126.3846452023-10-04
7가족호텔업중문통나무가족호텔제주특별자치도 서귀포시 중산간서로594번길 7-28제주특별자치도 서귀포시 대포동 24930064-738-838333.264503126.4507242023-10-04
8가족호텔업와이리조트 제주제주특별자치도 서귀포시 안덕면 화순중앙로124번길 75제주특별자치도 서귀포시 안덕면 화순리 188932064-794-700733.242569126.3279382023-10-04
9가족호텔업코델리아리조트제주특별자치도 서귀포시 성산읍 일주동로4120번길 23-20제주특별자치도 서귀포시 성산읍 오조리 941-1104070-4548-220033.459114126.9100582023-10-04
구분상호명소재지지번주소객실수연락처위도경도데이터기준일자
68관광호텔업제주신화월드 호텔 앤 리조트제주특별자치도 서귀포시 안덕면 신화역사로304번길 38제주특별자치도 서귀포시 안덕면 서광리 산 35-161720064-908-600033.304973126.3163522023-10-04
69관광호텔업호텔 아루미제주특별자치도 서귀포시 색달중앙로 38제주특별자치도 서귀포시 색달동 2284-178064-738-978033.258573126.4139632023-10-04
70관광호텔업골드윈호텔&스위트제주특별자치도 서귀포시 이어도로 1032제주특별자치도 서귀포시 서호동 11551064-801-500033.24421126.5223872023-10-04
71관광호텔업JW 메리어트제주특별자치도 서귀포시 태평로 152제주특별자치도 서귀포시 호근동 216389064-803-777733.243297126.538362023-10-04
72소형호텔업HOTEL 52제주특별자치도 서귀포시 대정읍 신영로36번길 35제주특별자치도 서귀포시 대정읍 하모리 1089-2320064-794-183133.219892126.2470752023-10-04
73소형호텔업모슬포1호텔제주특별자치도 서귀포시 대정읍 최남단해안로30번길 11제주특별자치도 서귀포시 대정읍 하모리 2129-124064-792-472333.217738126.2509162023-10-04
74소형호텔업모슬포2호텔제주특별자치도 서귀포시 대정읍 최남단해안로30번길 13제주특별자치도 서귀포시 대정읍 하모리 2129-224064-792-472333.217732126.2507222023-10-04
75소형호텔업모슬포3호텔제주특별자치도 서귀포시 대정읍 최남단해안로30번길 15제주특별자치도 서귀포시 대정읍 하모리 2129-324064-792-472333.217743126.2505352023-10-04
76소형호텔업카세로지제주특별자치도 서귀포시 표선면 가시로 383제주특별자치도 서귀포시 가시리 997-123064-735-031133.344953126.7864372023-10-04
77한국전통호텔업씨에스개발㈜ 씨에스호텔앤리조트제주특별자치도 서귀포시 중문관광로 198제주특별자치도 서귀포시 중문동 2563-126064-735-300033.242916126.4202932023-10-04