Overview

Dataset statistics

Number of variables5
Number of observations130
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory43.0 B

Variable types

Numeric2
Text2
Categorical1

Dataset

Description경남도내 관광숙박업 현황 정보입니다. 관광숙박업소의 연번, 업체명, 구분, 소재지 등에 관한 정보를 제공합니다.
Author경상남도
URLhttps://www.data.go.kr/data/3083945/fileData.do

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
객실수 has 2 (1.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:00:24.906654
Analysis finished2023-12-12 03:00:25.976595
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.5
Minimum1
Maximum130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T12:00:26.089053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.45
Q133.25
median65.5
Q397.75
95-th percentile123.55
Maximum130
Range129
Interquartile range (IQR)64.5

Descriptive statistics

Standard deviation37.671829
Coefficient of variation (CV)0.57514242
Kurtosis-1.2
Mean65.5
Median Absolute Deviation (MAD)32.5
Skewness0
Sum8515
Variance1419.1667
MonotonicityStrictly increasing
2023-12-12T12:00:26.285969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
99 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
Other values (120) 120
92.3%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
Distinct128
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T12:00:26.558047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.8846154
Min length2

Characters and Unicode

Total characters1025
Distinct characters250
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

Unique126 ?
Unique (%)96.9%

Sample

1st row에비뉴관광호텔
2nd row여우비호텔
3rd row㈜올림픽호텔
4th rowC&N HOSTEL
5th row진해 인터시티호텔
ValueCountFrequency (%)
호텔 6
 
3.4%
관광호텔 3
 
1.7%
리조트 3
 
1.7%
거제 2
 
1.1%
창원 2
 
1.1%
게스트하우스 2
 
1.1%
한화리조트 2
 
1.1%
주식회사 2
 
1.1%
벨버디어 2
 
1.1%
아르누보스위트호텔 2
 
1.1%
Other values (153) 153
85.5%
2023-12-12T12:00:27.018618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
 
8.7%
89
 
8.7%
49
 
4.8%
48
 
4.7%
31
 
3.0%
27
 
2.6%
24
 
2.3%
24
 
2.3%
15
 
1.5%
15
 
1.5%
Other values (240) 614
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 915
89.3%
Space Separator 49
 
4.8%
Uppercase Letter 27
 
2.6%
Lowercase Letter 9
 
0.9%
Close Punctuation 7
 
0.7%
Open Punctuation 7
 
0.7%
Other Punctuation 5
 
0.5%
Other Symbol 4
 
0.4%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
89
 
9.7%
89
 
9.7%
48
 
5.2%
31
 
3.4%
27
 
3.0%
24
 
2.6%
24
 
2.6%
15
 
1.6%
15
 
1.6%
14
 
1.5%
Other values (209) 539
58.9%
Uppercase Letter
ValueCountFrequency (%)
O 3
11.1%
E 3
11.1%
L 3
11.1%
B 2
 
7.4%
H 2
 
7.4%
S 2
 
7.4%
C 2
 
7.4%
T 2
 
7.4%
N 2
 
7.4%
F 1
 
3.7%
Other values (5) 5
18.5%
Lowercase Letter
ValueCountFrequency (%)
l 2
22.2%
m 1
11.1%
a 1
11.1%
i 1
11.1%
y 1
11.1%
e 1
11.1%
b 1
11.1%
o 1
11.1%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
· 2
40.0%
Decimal Number
ValueCountFrequency (%)
8 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 919
89.7%
Common 70
 
6.8%
Latin 36
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
89
 
9.7%
89
 
9.7%
48
 
5.2%
31
 
3.4%
27
 
2.9%
24
 
2.6%
24
 
2.6%
15
 
1.6%
15
 
1.6%
14
 
1.5%
Other values (210) 543
59.1%
Latin
ValueCountFrequency (%)
O 3
 
8.3%
E 3
 
8.3%
L 3
 
8.3%
B 2
 
5.6%
l 2
 
5.6%
H 2
 
5.6%
S 2
 
5.6%
C 2
 
5.6%
T 2
 
5.6%
N 2
 
5.6%
Other values (13) 13
36.1%
Common
ValueCountFrequency (%)
49
70.0%
) 7
 
10.0%
( 7
 
10.0%
& 3
 
4.3%
· 2
 
2.9%
8 1
 
1.4%
4 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 915
89.3%
ASCII 104
 
10.1%
None 6
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
89
 
9.7%
89
 
9.7%
48
 
5.2%
31
 
3.4%
27
 
3.0%
24
 
2.6%
24
 
2.6%
15
 
1.6%
15
 
1.6%
14
 
1.5%
Other values (209) 539
58.9%
ASCII
ValueCountFrequency (%)
49
47.1%
) 7
 
6.7%
( 7
 
6.7%
& 3
 
2.9%
O 3
 
2.9%
E 3
 
2.9%
L 3
 
2.9%
B 2
 
1.9%
l 2
 
1.9%
H 2
 
1.9%
Other values (19) 23
22.1%
None
ValueCountFrequency (%)
4
66.7%
· 2
33.3%

구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
관광호텔업
53 
호스텔업
33 
가족호텔업
21 
휴양콘도미니엄업
17 
소형호텔업
 
5

Length

Max length8
Median length5
Mean length5.1461538
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
관광호텔업 53
40.8%
호스텔업 33
25.4%
가족호텔업 21
 
16.2%
휴양콘도미니엄업 17
 
13.1%
소형호텔업 5
 
3.8%
관광호스텔업 1
 
0.8%

Length

2023-12-12T12:00:27.254153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:00:27.445508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광호텔업 53
40.8%
호스텔업 33
25.4%
가족호텔업 21
 
16.2%
휴양콘도미니엄업 17
 
13.1%
소형호텔업 5
 
3.8%
관광호스텔업 1
 
0.8%
Distinct127
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T12:00:27.911745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length30.5
Mean length21.261538
Min length10

Characters and Unicode

Total characters2764
Distinct characters175
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)95.4%

Sample

1st row경상남도 창원시 성산구 용지로169번길 5(용호동)
2nd row경상남도 창원시 마산합포구 월영동11길 22 (해운동)
3rd row경상남도 창원시 성산구 중앙대로 81 (중앙동)
4th row경상남도 창원시 성산구 상남로 118, 701호, 9층~11층 (상남동, 씨엔엔타워)
5th row경상남도 창원시 진해구 충장로 98 (충무동)
ValueCountFrequency (%)
경상남도 64
 
11.2%
통영시 43
 
7.5%
창원시 24
 
4.2%
거제시 22
 
3.8%
성산구 8
 
1.4%
진해구 7
 
1.2%
남해군 7
 
1.2%
거제대로 6
 
1.0%
일운면 6
 
1.0%
김해시 6
 
1.0%
Other values (300) 379
66.3%
2023-12-12T12:00:28.585977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
474
 
17.1%
1 120
 
4.3%
113
 
4.1%
108
 
3.9%
88
 
3.2%
88
 
3.2%
80
 
2.9%
2 77
 
2.8%
68
 
2.5%
68
 
2.5%
Other values (165) 1480
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1607
58.1%
Decimal Number 500
 
18.1%
Space Separator 474
 
17.1%
Open Punctuation 62
 
2.2%
Close Punctuation 62
 
2.2%
Dash Punctuation 47
 
1.7%
Other Punctuation 11
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
113
 
7.0%
108
 
6.7%
88
 
5.5%
88
 
5.5%
80
 
5.0%
68
 
4.2%
68
 
4.2%
59
 
3.7%
47
 
2.9%
46
 
2.9%
Other values (149) 842
52.4%
Decimal Number
ValueCountFrequency (%)
1 120
24.0%
2 77
15.4%
4 48
 
9.6%
3 47
 
9.4%
7 46
 
9.2%
0 40
 
8.0%
5 39
 
7.8%
6 30
 
6.0%
8 27
 
5.4%
9 26
 
5.2%
Space Separator
ValueCountFrequency (%)
474
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1607
58.1%
Common 1157
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
113
 
7.0%
108
 
6.7%
88
 
5.5%
88
 
5.5%
80
 
5.0%
68
 
4.2%
68
 
4.2%
59
 
3.7%
47
 
2.9%
46
 
2.9%
Other values (149) 842
52.4%
Common
ValueCountFrequency (%)
474
41.0%
1 120
 
10.4%
2 77
 
6.7%
( 62
 
5.4%
) 62
 
5.4%
4 48
 
4.1%
- 47
 
4.1%
3 47
 
4.1%
7 46
 
4.0%
0 40
 
3.5%
Other values (6) 134
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1607
58.1%
ASCII 1157
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
474
41.0%
1 120
 
10.4%
2 77
 
6.7%
( 62
 
5.4%
) 62
 
5.4%
4 48
 
4.1%
- 47
 
4.1%
3 47
 
4.1%
7 46
 
4.0%
0 40
 
3.5%
Other values (6) 134
 
11.6%
Hangul
ValueCountFrequency (%)
113
 
7.0%
108
 
6.7%
88
 
5.5%
88
 
5.5%
80
 
5.0%
68
 
4.2%
68
 
4.2%
59
 
3.7%
47
 
2.9%
46
 
2.9%
Other values (149) 842
52.4%

객실수
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)58.6%
Missing2
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean65.195312
Minimum3
Maximum516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T12:00:28.792926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5.35
Q129
median40.5
Q364.25
95-th percentile223.9
Maximum516
Range513
Interquartile range (IQR)35.25

Descriptive statistics

Standard deviation80.235878
Coefficient of variation (CV)1.2307001
Kurtosis11.603501
Mean65.195312
Median Absolute Deviation (MAD)20
Skewness3.0943404
Sum8345
Variance6437.7962
MonotonicityNot monotonic
2023-12-12T12:00:28.987912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 6
 
4.6%
31 6
 
4.6%
35 5
 
3.8%
9 4
 
3.1%
60 3
 
2.3%
44 3
 
2.3%
37 3
 
2.3%
4 3
 
2.3%
55 3
 
2.3%
41 3
 
2.3%
Other values (65) 89
68.5%
ValueCountFrequency (%)
3 1
 
0.8%
4 3
2.3%
5 3
2.3%
6 2
1.5%
7 3
2.3%
8 3
2.3%
9 4
3.1%
10 1
 
0.8%
11 2
1.5%
13 1
 
0.8%
ValueCountFrequency (%)
516 1
0.8%
427 1
0.8%
339 1
0.8%
321 1
0.8%
272 1
0.8%
255 1
0.8%
247 1
0.8%
181 1
0.8%
170 1
0.8%
166 1
0.8%

Interactions

2023-12-12T12:00:25.506986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:00:25.269265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:00:25.628688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:00:25.394715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:00:29.110759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분객실수
연번1.0000.7740.399
구분0.7741.0000.458
객실수0.3990.4581.000
2023-12-12T12:00:29.231232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번객실수구분
연번1.0000.1760.542
객실수0.1761.0000.243
구분0.5420.2431.000

Missing values

2023-12-12T12:00:25.783839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:00:25.929829image/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

연번업체명구분소재지객실수
01에비뉴관광호텔관광호텔업경상남도 창원시 성산구 용지로169번길 5(용호동)60
12여우비호텔관광호텔업경상남도 창원시 마산합포구 월영동11길 22 (해운동)60
23㈜올림픽호텔관광호텔업경상남도 창원시 성산구 중앙대로 81 (중앙동)86
34C&N HOSTEL호스텔업경상남도 창원시 성산구 상남로 118, 701호, 9층~11층 (상남동, 씨엔엔타워)38
45진해 인터시티호텔관광호텔업경상남도 창원시 진해구 충장로 98 (충무동)33
56베스트루이스해밀턴호텔 창원점관광호텔업경상남도 창원시 성산구 마디미로70번길 10(상남동)68
67브라운도트 관광호텔관광호텔업경상남도 창원시 진해구 용원동로221번길 60-7(용원동)39
78주식회사 비즈관광호텔관광호텔업경상남도 창원시 진해구 진해대로 2116(두동)35
89(주)스카이뷰 관광호텔관광호텔업경상남도 창원시 마산합포구 해안대로 317 (신포동2가)94
910아몬드관광호텔관광호텔업경상남도 창원시 마산합포구 월영동11길 19 (해운동)50
연번업체명구분소재지객실수
120121(주)일성부곡콘도미니엄휴양콘도미니엄업창녕군 부곡면 온천로 594247
121122(주)레이크힐스골프텔부곡휴양콘도미니엄업창녕군 부곡면 온천2길 41164
122123고성 Nobel 컨트리 클럽휴양콘도미니엄업경상남도 고성군 회화면 회진로 56732
123124아난티 남해휴양콘도미니엄업경상남도 남해군 남면 남서대로1179번길 40-101170
124125남해베네치아리조트휴양콘도미니엄업경상남도 남해군 미조면 미송로 249-1156
125126남해사우스케이프오너스클럽휴양콘도미니엄업경상남도 남해군 창선면 흥선로 154549
126127비바체 하동호 리조트휴양콘도미니엄업경남 하동군 청암면 청학로 876162
127128켄싱턴 리조트 지리산 하동휴양콘도미니엄업경남 하동군 화개면 쌍계로 532-6115
128129신세계리조트휴양콘도미니엄업산청군 금서면 친환경로 171562
129130스카이뷰컨트리클럽휴양콘도미니엄업경상남도 함양군 서상면 소로길 23755