Overview

Dataset statistics

Number of variables7
Number of observations87
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory59.5 B

Variable types

Numeric2
Text3
Categorical1
DateTime1

Dataset

Description경남도내 관광숙박업 현황 정보입니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3083945

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:52:04.078573
Analysis finished2023-12-10 22:52:05.456206
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44
Minimum1
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-11T07:52:05.536749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.3
Q122.5
median44
Q365.5
95-th percentile82.7
Maximum87
Range86
Interquartile range (IQR)43

Descriptive statistics

Standard deviation25.258662
Coefficient of variation (CV)0.5740605
Kurtosis-1.2
Mean44
Median Absolute Deviation (MAD)22
Skewness0
Sum3828
Variance638
MonotonicityStrictly increasing
2023-12-11T07:52:05.928731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
58 1
 
1.1%
Other values (77) 77
88.5%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%
79 1
1.1%
78 1
1.1%

업체명
Text

Distinct83
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-11T07:52:06.158962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length7.9770115
Min length4

Characters and Unicode

Total characters694
Distinct characters180
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)92.0%

Sample

1st row에비뉴관광호텔
2nd row풀만 앰배서더 창원
3rd row크라운관광호텔(CROWN HOTEL)
4th row(주) 올림픽호텔
5th row창원관광개발(주) 창원호텔
ValueCountFrequency (%)
센트럴관광호텔 3
 
2.8%
와우관광호텔 2
 
1.9%
호텔리베라거제 2
 
1.9%
주식회사 2
 
1.9%
리조트 2
 
1.9%
베니키아호텔거제 1
 
0.9%
거제오션호텔 1
 
0.9%
골프텔 1
 
0.9%
거제뷰 1
 
0.9%
도야거제가족호텔 1
 
0.9%
Other values (91) 91
85.0%
2023-12-11T07:52:06.507974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 63
 
9.1%
텔 63
 
9.1%
관 37
 
5.3%
광 37
 
5.3%
리 20
 
2.9%
20
 
2.9%
스 20
 
2.9%
트 14
 
2.0%
제 11
 
1.6%
거 11
 
1.6%
Other values (170) 398
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 625
90.1%
Space Separator 20
 
2.9%
Uppercase Letter 19
 
2.7%
Other Symbol 10
 
1.4%
Close Punctuation 9
 
1.3%
Open Punctuation 9
 
1.3%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 63
 
10.1%
텔 63
 
10.1%
관 37
 
5.9%
광 37
 
5.9%
리 20
 
3.2%
스 20
 
3.2%
트 14
 
2.2%
제 11
 
1.8%
거 11
 
1.8%
주 10
 
1.6%
Other values (153) 339
54.2%
Uppercase Letter
ValueCountFrequency (%)
W 3
15.8%
O 3
15.8%
E 2
10.5%
L 2
10.5%
C 2
10.5%
R 1
 
5.3%
T 1
 
5.3%
H 1
 
5.3%
N 1
 
5.3%
S 1
 
5.3%
Other values (2) 2
10.5%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 635
91.5%
Common 40
 
5.8%
Latin 19
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 63
 
9.9%
텔 63
 
9.9%
관 37
 
5.8%
광 37
 
5.8%
리 20
 
3.1%
스 20
 
3.1%
트 14
 
2.2%
제 11
 
1.7%
거 11
 
1.7%
주 10
 
1.6%
Other values (154) 349
55.0%
Latin
ValueCountFrequency (%)
W 3
15.8%
O 3
15.8%
E 2
10.5%
L 2
10.5%
C 2
10.5%
R 1
 
5.3%
T 1
 
5.3%
H 1
 
5.3%
N 1
 
5.3%
S 1
 
5.3%
Other values (2) 2
10.5%
Common
ValueCountFrequency (%)
20
50.0%
) 9
22.5%
( 9
22.5%
· 2
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 625
90.1%
ASCII 57
 
8.2%
None 12
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 63
 
10.1%
텔 63
 
10.1%
관 37
 
5.9%
광 37
 
5.9%
리 20
 
3.2%
스 20
 
3.2%
트 14
 
2.2%
제 11
 
1.8%
거 11
 
1.8%
주 10
 
1.6%
Other values (153) 339
54.2%
ASCII
ValueCountFrequency (%)
20
35.1%
) 9
15.8%
( 9
15.8%
W 3
 
5.3%
O 3
 
5.3%
E 2
 
3.5%
L 2
 
3.5%
C 2
 
3.5%
R 1
 
1.8%
T 1
 
1.8%
Other values (5) 5
 
8.8%
None
ValueCountFrequency (%)
㈜ 10
83.3%
· 2
 
16.7%

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size828.0 B
관광호텔업
48 
가족호텔업
17 
휴양콘도미니엄업
14 
호스텔업
8 

Length

Max length8
Median length5
Mean length5.3908046
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광호텔업 48
55.2%
가족호텔업 17
 
19.5%
휴양콘도미니엄업 14
 
16.1%
호스텔업 8
 
9.2%

Length

2023-12-11T07:52:06.637111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:52:06.749303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광호텔업 48
55.2%
가족호텔업 17
 
19.5%
휴양콘도미니엄업 14
 
16.1%
호스텔업 8
 
9.2%

소재지
Text

Distinct83
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-11T07:52:06.967460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length24.206897
Min length16

Characters and Unicode

Total characters2106
Distinct characters149
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)92.0%

Sample

1st row경상남도 창원시 의창구 용지로169번길 5 (용호동)
2nd row경상남도 창원시 의창구 원이대로 332 (대원동)
3rd row경상남도 창원시 의창구 창원대로363번길 22-5 (팔용동)
4th row경상남도 창원시 성산구 중앙대로 81 (중앙동)
5th row경상남도 창원시 성산구 중앙대로39번길 14 (중앙동)
ValueCountFrequency (%)
경상남도 87
 
19.7%
통영시 22
 
5.0%
거제시 18
 
4.1%
창원시 16
 
3.6%
창녕군 6
 
1.4%
부곡면 6
 
1.4%
남해군 6
 
1.4%
거문리 6
 
1.4%
거제대로 6
 
1.4%
일운면 6
 
1.4%
Other values (211) 262
59.4%
2023-12-11T07:52:07.336915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
355
 
16.9%
남 109
 
5.2%
도 100
 
4.7%
경 88
 
4.2%
상 87
 
4.1%
1 70
 
3.3%
시 70
 
3.3%
2 69
 
3.3%
로 59
 
2.8%
동 58
 
2.8%
Other values (139) 1041
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1278
60.7%
Space Separator 355
 
16.9%
Decimal Number 344
 
16.3%
Open Punctuation 45
 
2.1%
Close Punctuation 45
 
2.1%
Dash Punctuation 36
 
1.7%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 109
 
8.5%
도 100
 
7.8%
경 88
 
6.9%
상 87
 
6.8%
시 70
 
5.5%
로 59
 
4.6%
동 58
 
4.5%
길 36
 
2.8%
면 36
 
2.8%
거 32
 
2.5%
Other values (124) 603
47.2%
Decimal Number
ValueCountFrequency (%)
1 70
20.3%
2 69
20.1%
3 33
9.6%
4 32
9.3%
5 28
 
8.1%
7 26
 
7.6%
0 23
 
6.7%
8 22
 
6.4%
6 22
 
6.4%
9 19
 
5.5%
Space Separator
ValueCountFrequency (%)
355
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1278
60.7%
Common 828
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 109
 
8.5%
도 100
 
7.8%
경 88
 
6.9%
상 87
 
6.8%
시 70
 
5.5%
로 59
 
4.6%
동 58
 
4.5%
길 36
 
2.8%
면 36
 
2.8%
거 32
 
2.5%
Other values (124) 603
47.2%
Common
ValueCountFrequency (%)
355
42.9%
1 70
 
8.5%
2 69
 
8.3%
( 45
 
5.4%
) 45
 
5.4%
- 36
 
4.3%
3 33
 
4.0%
4 32
 
3.9%
5 28
 
3.4%
7 26
 
3.1%
Other values (5) 89
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1278
60.7%
ASCII 828
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
355
42.9%
1 70
 
8.5%
2 69
 
8.3%
( 45
 
5.4%
) 45
 
5.4%
- 36
 
4.3%
3 33
 
4.0%
4 32
 
3.9%
5 28
 
3.4%
7 26
 
3.1%
Other values (5) 89
 
10.7%
Hangul
ValueCountFrequency (%)
남 109
 
8.5%
도 100
 
7.8%
경 88
 
6.9%
상 87
 
6.8%
시 70
 
5.5%
로 59
 
4.6%
동 58
 
4.5%
길 36
 
2.8%
면 36
 
2.8%
거 32
 
2.5%
Other values (124) 603
47.2%

등록일
Date

Distinct80
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum1982-06-22 00:00:00
Maximum2015-12-14 00:00:00
2023-12-11T07:52:07.469208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:52:07.591841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

객실수
Real number (ℝ)

Distinct59
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.229885
Minimum4
Maximum516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-11T07:52:07.714931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.3
Q135
median49
Q387.5
95-th percentile227.5
Maximum516
Range512
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation78.662615
Coefficient of variation (CV)1.0185515
Kurtosis11.439912
Mean77.229885
Median Absolute Deviation (MAD)19
Skewness2.8868952
Sum6719
Variance6187.807
MonotonicityNot monotonic
2023-12-11T07:52:07.875938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 8
 
9.2%
55 3
 
3.4%
5 3
 
3.4%
31 3
 
3.4%
37 3
 
3.4%
49 3
 
3.4%
35 3
 
3.4%
60 2
 
2.3%
45 2
 
2.3%
32 2
 
2.3%
Other values (49) 55
63.2%
ValueCountFrequency (%)
4 1
 
1.1%
5 3
 
3.4%
6 1
 
1.1%
7 1
 
1.1%
16 1
 
1.1%
20 1
 
1.1%
30 8
9.2%
31 3
 
3.4%
32 2
 
2.3%
35 3
 
3.4%
ValueCountFrequency (%)
516 1
1.1%
321 1
1.1%
272 1
1.1%
250 1
1.1%
247 1
1.1%
182 1
1.1%
181 1
1.1%
173 1
1.1%
170 1
1.1%
166 1
1.1%

전화번호
Text

Distinct83
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-11T07:52:08.120569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.45977
Min length1

Characters and Unicode

Total characters997
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

Unique81 ?
Unique (%)93.1%

Sample

1st row055-263-7200
2nd row055-600-0700
3rd row055-237-1001
4th row055-285-3331
5th row055-283-5551
ValueCountFrequency (%)
4
 
4.6%
055-730-5000 2
 
2.3%
055-530-3000 1
 
1.1%
055-973-8890 1
 
1.1%
055-730-9600 1
 
1.1%
055-639-2222 1
 
1.1%
055-681-6918 1
 
1.1%
055-636-8900 1
 
1.1%
055-632-6377 1
 
1.1%
055-687-7111 1
 
1.1%
Other values (73) 73
83.9%
2023-12-11T07:52:08.422286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 212
21.3%
0 204
20.5%
- 169
17.0%
3 63
 
6.3%
6 63
 
6.3%
1 57
 
5.7%
7 56
 
5.6%
2 54
 
5.4%
8 54
 
5.4%
4 44
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 828
83.0%
Dash Punctuation 169
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 212
25.6%
0 204
24.6%
3 63
 
7.6%
6 63
 
7.6%
1 57
 
6.9%
7 56
 
6.8%
2 54
 
6.5%
8 54
 
6.5%
4 44
 
5.3%
9 21
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 169
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 997
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 212
21.3%
0 204
20.5%
- 169
17.0%
3 63
 
6.3%
6 63
 
6.3%
1 57
 
5.7%
7 56
 
5.6%
2 54
 
5.4%
8 54
 
5.4%
4 44
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 997
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 212
21.3%
0 204
20.5%
- 169
17.0%
3 63
 
6.3%
6 63
 
6.3%
1 57
 
5.7%
7 56
 
5.6%
2 54
 
5.4%
8 54
 
5.4%
4 44
 
4.4%

Interactions

2023-12-11T07:52:05.121927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:52:04.977343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:52:05.193403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:52:05.046786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:52:08.509315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명구분소재지등록일객실수전화번호
연번1.0001.0000.8391.0000.9800.3630.979
업체명1.0001.0000.9801.0001.0000.9970.997
구분0.8390.9801.0000.9800.9530.5160.980
소재지1.0001.0000.9801.0001.0000.9970.997
등록일0.9801.0000.9531.0001.0001.0000.994
객실수0.3630.9970.5160.9971.0001.0000.997
전화번호0.9790.9970.9800.9970.9940.9971.000
2023-12-11T07:52:08.599038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번객실수구분
연번1.0000.2270.655
객실수0.2271.0000.243
구분0.6550.2431.000

Missing values

2023-12-11T07:52:05.305874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:52:05.413535image/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

연번업체명구분소재지등록일객실수전화번호
01에비뉴관광호텔관광호텔업경상남도 창원시 의창구 용지로169번길 5 (용호동)2006-04-0660055-263-7200
12풀만 앰배서더 창원관광호텔업경상남도 창원시 의창구 원이대로 332 (대원동)2008-06-04321055-600-0700
23크라운관광호텔(CROWN HOTEL)관광호텔업경상남도 창원시 의창구 창원대로363번길 22-5 (팔용동)2001-10-3060055-237-1001
34(주) 올림픽호텔관광호텔업경상남도 창원시 성산구 중앙대로 81 (중앙동)2010-08-2786055-285-3331
45창원관광개발(주) 창원호텔관광호텔업경상남도 창원시 성산구 중앙대로39번길 14 (중앙동)1996-04-17173055-283-5551
56주식회사 캔버라관광관광호텔업경상남도 창원시 성산구 중앙대로61번길 4 (중앙동,캔버라타운 8층)1996-04-1685055-268-5000
67(주)호텔인터내셔널관광호텔업경상남도 창원시 성산구 중앙대로 69 (중앙동)1989-10-31121055-281-1001
78사보이관광호텔관광호텔업경상남도 창원시 마산합포구 산호북21길 8 (산호동)1990-10-1159055-247-4455
89(주)마산관광호텔관광호텔업경상남도 창원시 마산합포구 수산1길 285 (오동동)2005-11-0456055-245-0070
910(주)리베라관광호텔관광호텔업경상남도 창원시 마산합포구 해안대로 317 (신포동2가)2006-01-2750055-248-5200
연번업체명구분소재지등록일객실수전화번호
7778에덴벨리휴양콘도미니엄업경상남도 양산시 원동면 어실로 12062008-12-12100055-379-7000
7879일성레저산업㈜휴양콘도미니엄업경상남도 창녕군 부곡면 거문리 203-101992-07-06247055-536-9870
7980주식회사 레이크힐스 리조트휴양콘도미니엄업경상남도 창녕군 부곡면 거문리 213-192000-07-25164055-536-5181
8081에머슨퍼시픽㈜휴양콘도미니엄업경상남도 남해군 남면 남서대로1179번길 40-1012007-01-25170055-860-0100
8182㈜씨제이앤씨휴양콘도미니엄업경상남도 남해군 미조면 미송로 249-112007-04-1256055-867-8455
8283㈜한섬피앤디휴양콘도미니엄업경상남도 남해군 창선면 흥선로 15452013-12-10491644-0280
8384㈜리아타운휴양콘도미니엄업경상남도 하동군 청암면 청학로 8762015-04-17162055-884-9393
8485㈜이랜드파크휴양콘도미니엄업경상남도 하동군 화개면 운수리 384-172015-07-15115055-880-8000
8586신세계리조트㈜휴양콘도미니엄업경상남도 산청군 금서면 친환경로 17151996-08-2362055-973-8890
8687산청한방콘도미니엄㈜휴양콘도미니엄업경상남도 산청군 금서면 동의보감로 479번길 432013-09-1331055-972-7000