Overview

Dataset statistics

Number of variables8
Number of observations65
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory69.0 B

Variable types

Categorical3
Text2
Numeric3

Dataset

Description하이원리조트에 위치한 강원랜드 그랜드호텔 및 팰리스호텔의 호텔구분, 객실타입, 객실 수, 객실면적, 객실요금(원) 등의 정보제공을 통한 이용객들의 편의성 향상
Author(주)강원랜드
URLhttps://www.data.go.kr/data/3075310/fileData.do

Alerts

사업부 is highly overall correlated with 영업장 and 1 other fieldsHigh correlation
영업장 is highly overall correlated with 사업부 and 1 other fieldsHigh correlation
평방미터 is highly overall correlated with 기준가격 and 1 other fieldsHigh correlation
객실수 is highly overall correlated with 기준가격High correlation
기준가격 is highly overall correlated with 평방미터 and 2 other fieldsHigh correlation
평형 is highly overall correlated with 평방미터 and 3 other fieldsHigh correlation

Reproduction

Analysis started2024-03-14 10:31:59.538787
Analysis finished2024-03-14 10:32:02.996739
Duration3.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업부
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size648.0 B
하이원그랜드호텔
29 
하이원콘도
25 
하이원팰리스호텔
11 

Length

Max length8
Median length8
Mean length6.8461538
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하이원그랜드호텔 29
44.6%
하이원콘도 25
38.5%
하이원팰리스호텔 11
 
16.9%

Length

2024-03-14T19:32:03.220921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:32:03.548253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하이원그랜드호텔 29
44.6%
하이원콘도 25
38.5%
하이원팰리스호텔 11
 
16.9%

영업장
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size648.0 B
메인타워
16 
컨벤션타워
13 
하이원팰리스
11 
마운틴콘도
9 
힐콘도
6 
Other values (2)
10 

Length

Max length9
Median length6
Mean length4.9692308
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
메인타워 16
24.6%
컨벤션타워 13
20.0%
하이원팰리스 11
16.9%
마운틴콘도 9
13.8%
힐콘도 6
 
9.2%
밸리콘도 5
 
7.7%
마운틴PLUS콘도 5
 
7.7%

Length

2024-03-14T19:32:03.931512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:32:04.298347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
메인타워 16
24.6%
컨벤션타워 13
20.0%
하이원팰리스 11
16.9%
마운틴콘도 9
13.8%
힐콘도 6
 
9.2%
밸리콘도 5
 
7.7%
마운틴plus콘도 5
 
7.7%

객실타입
Text

Distinct58
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size648.0 B
2024-03-14T19:32:05.287827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters195
Distinct characters19
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)78.5%

Sample

1st rowSTD
2nd rowSTT
3rd rowSMD
4th rowSMT
5th rowSTR
ValueCountFrequency (%)
std 2
 
3.1%
sto 2
 
3.1%
sdo 2
 
3.1%
jsd 2
 
3.1%
jso 2
 
3.1%
stt 2
 
3.1%
str 2
 
3.1%
mfo 1
 
1.5%
vdr 1
 
1.5%
mes 1
 
1.5%
Other values (48) 48
73.8%
2024-03-14T19:32:06.369626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 54
27.7%
D 18
 
9.2%
M 18
 
9.2%
T 16
 
8.2%
O 15
 
7.7%
P 14
 
7.2%
R 12
 
6.2%
J 9
 
4.6%
H 7
 
3.6%
E 5
 
2.6%
Other values (9) 27
13.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 194
99.5%
Decimal Number 1
 
0.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 54
27.8%
D 18
 
9.3%
M 18
 
9.3%
T 16
 
8.2%
O 15
 
7.7%
P 14
 
7.2%
R 12
 
6.2%
J 9
 
4.6%
H 7
 
3.6%
E 5
 
2.6%
Other values (8) 26
13.4%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 194
99.5%
Common 1
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 54
27.8%
D 18
 
9.3%
M 18
 
9.3%
T 16
 
8.2%
O 15
 
7.7%
P 14
 
7.2%
R 12
 
6.2%
J 9
 
4.6%
H 7
 
3.6%
E 5
 
2.6%
Other values (8) 26
13.4%
Common
ValueCountFrequency (%)
4 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 195
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 54
27.7%
D 18
 
9.2%
M 18
 
9.2%
T 16
 
8.2%
O 15
 
7.7%
P 14
 
7.2%
R 12
 
6.2%
J 9
 
4.6%
H 7
 
3.6%
E 5
 
2.6%
Other values (9) 27
13.8%

객실타입명
Text

Distinct59
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size648.0 B
2024-03-14T19:32:07.143898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length20.415385
Min length11

Characters and Unicode

Total characters1327
Distinct characters48
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)81.5%

Sample

1st rowStandard Double
2nd rowStandard Twin
3rd rowStandard Smoking Double
4th rowStandard Smoking Twin
5th rowStandard Triple
ValueCountFrequency (%)
suite 24
 
12.3%
ondol 15
 
7.7%
standard 14
 
7.2%
mountain 14
 
7.2%
double 13
 
6.7%
superior 10
 
5.1%
junior 9
 
4.6%
family 7
 
3.6%
twin 6
 
3.1%
hill 6
 
3.1%
Other values (35) 77
39.5%
2024-03-14T19:32:08.378606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
9.9%
e 108
 
8.1%
i 102
 
7.7%
u 96
 
7.2%
n 86
 
6.5%
o 82
 
6.2%
r 75
 
5.7%
l 74
 
5.6%
t 68
 
5.1%
a 67
 
5.0%
Other values (38) 438
33.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 917
69.1%
Uppercase Letter 178
 
13.4%
Space Separator 131
 
9.9%
Decimal Number 51
 
3.8%
Close Punctuation 25
 
1.9%
Open Punctuation 25
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 108
11.8%
i 102
11.1%
u 96
10.5%
n 86
9.4%
o 82
8.9%
r 75
8.2%
l 74
8.1%
t 68
7.4%
a 67
7.3%
d 48
5.2%
Other values (12) 111
12.1%
Uppercase Letter
ValueCountFrequency (%)
S 57
32.0%
D 19
 
10.7%
O 15
 
8.4%
M 15
 
8.4%
T 13
 
7.3%
J 9
 
5.1%
P 8
 
4.5%
F 7
 
3.9%
R 6
 
3.4%
H 6
 
3.4%
Other values (6) 23
12.9%
Decimal Number
ValueCountFrequency (%)
0 19
37.3%
5 9
17.6%
3 9
17.6%
6 6
 
11.8%
4 3
 
5.9%
1 3
 
5.9%
9 2
 
3.9%
Space Separator
ValueCountFrequency (%)
131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1095
82.5%
Common 232
 
17.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 108
 
9.9%
i 102
 
9.3%
u 96
 
8.8%
n 86
 
7.9%
o 82
 
7.5%
r 75
 
6.8%
l 74
 
6.8%
t 68
 
6.2%
a 67
 
6.1%
S 57
 
5.2%
Other values (28) 280
25.6%
Common
ValueCountFrequency (%)
131
56.5%
) 25
 
10.8%
( 25
 
10.8%
0 19
 
8.2%
5 9
 
3.9%
3 9
 
3.9%
6 6
 
2.6%
4 3
 
1.3%
1 3
 
1.3%
9 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1327
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
 
9.9%
e 108
 
8.1%
i 102
 
7.7%
u 96
 
7.2%
n 86
 
6.5%
o 82
 
6.2%
r 75
 
5.7%
l 74
 
5.6%
t 68
 
5.1%
a 67
 
5.0%
Other values (38) 438
33.0%

평형
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size648.0 B
13평
8 
11평
7 
17평
5 
10평
5 
18평
4 
Other values (21)
36 

Length

Max length4
Median length3
Mean length3.0307692
Min length3

Unique

Unique12 ?
Unique (%)18.5%

Sample

1st row11평
2nd row11평
3rd row11평
4th row11평
5th row11평

Common Values

ValueCountFrequency (%)
13평 8
 
12.3%
11평 7
 
10.8%
17평 5
 
7.7%
10평 5
 
7.7%
18평 4
 
6.2%
40평 4
 
6.2%
34평 3
 
4.6%
35평 3
 
4.6%
49평 3
 
4.6%
27평 3
 
4.6%
Other values (16) 20
30.8%

Length

2024-03-14T19:32:08.731300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
13평 8
 
12.3%
11평 7
 
10.8%
17평 5
 
7.7%
10평 5
 
7.7%
18평 4
 
6.2%
40평 4
 
6.2%
34평 3
 
4.6%
35평 3
 
4.6%
49평 3
 
4.6%
27평 3
 
4.6%
Other values (16) 20
30.8%

평방미터
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.49554
Minimum32.39
Maximum478.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size713.0 B
2024-03-14T19:32:08.962203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.39
5-th percentile32.39
Q142.1
median84.1
Q3132
95-th percentile301.33
Maximum478.4
Range446.01
Interquartile range (IQR)89.9

Descriptive statistics

Standard deviation88.952007
Coefficient of variation (CV)0.82749488
Kurtosis4.4294403
Mean107.49554
Median Absolute Deviation (MAD)42
Skewness1.9456298
Sum6987.21
Variance7912.4596
MonotonicityNot monotonic
2024-03-14T19:32:09.174858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
42.1 8
 
12.3%
37.02 7
 
10.8%
32.39 5
 
7.7%
55.52 5
 
7.7%
60.15 4
 
6.2%
132.0 3
 
4.6%
116.0 3
 
4.6%
109.22 2
 
3.1%
52.47 2
 
3.1%
89.24 2
 
3.1%
Other values (21) 24
36.9%
ValueCountFrequency (%)
32.39 5
7.7%
37.02 7
10.8%
42.1 8
12.3%
52.47 2
 
3.1%
55.52 5
7.7%
60.15 4
6.2%
83.0 1
 
1.5%
84.1 1
 
1.5%
86.0 1
 
1.5%
88.5 1
 
1.5%
ValueCountFrequency (%)
478.4 1
1.5%
330.0 1
1.5%
325.7 1
1.5%
302.96 1
1.5%
294.81 1
1.5%
251.75 1
1.5%
200.91 1
1.5%
198.0 2
3.1%
195.27 1
1.5%
169.31 1
1.5%

객실수
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.107692
Minimum1
Maximum175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size713.0 B
2024-03-14T19:32:09.387485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median13
Q333
95-th percentile94.4
Maximum175
Range174
Interquartile range (IQR)29

Descriptive statistics

Standard deviation35.073193
Coefficient of variation (CV)1.2478147
Kurtosis4.7378036
Mean28.107692
Median Absolute Deviation (MAD)12
Skewness2.0432251
Sum1827
Variance1230.1288
MonotonicityNot monotonic
2024-03-14T19:32:09.615796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 9
 
13.8%
2 6
 
9.2%
30 3
 
4.6%
10 3
 
4.6%
11 3
 
4.6%
4 3
 
4.6%
19 2
 
3.1%
56 2
 
3.1%
32 2
 
3.1%
8 2
 
3.1%
Other values (25) 30
46.2%
ValueCountFrequency (%)
1 9
13.8%
2 6
9.2%
4 3
 
4.6%
5 2
 
3.1%
7 1
 
1.5%
8 2
 
3.1%
9 1
 
1.5%
10 3
 
4.6%
11 3
 
4.6%
12 2
 
3.1%
ValueCountFrequency (%)
175 1
1.5%
132 1
1.5%
107 1
1.5%
95 1
1.5%
92 1
1.5%
89 1
1.5%
78 1
1.5%
68 1
1.5%
60 2
3.1%
58 1
1.5%

기준가격
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean743846.15
Minimum200000
Maximum8500000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size713.0 B
2024-03-14T19:32:09.911769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200000
5-th percentile202000
Q1350000
median420000
Q3650000
95-th percentile1740000
Maximum8500000
Range8300000
Interquartile range (IQR)300000

Descriptive statistics

Standard deviation1175487.5
Coefficient of variation (CV)1.5802831
Kurtosis31.909065
Mean743846.15
Median Absolute Deviation (MAD)120000
Skewness5.3293626
Sum48350000
Variance1.3817709 × 1012
MonotonicityNot monotonic
2024-03-14T19:32:10.147751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
400000 8
12.3%
300000 6
 
9.2%
350000 5
 
7.7%
750000 5
 
7.7%
200000 4
 
6.2%
380000 4
 
6.2%
420000 4
 
6.2%
550000 4
 
6.2%
450000 3
 
4.6%
600000 3
 
4.6%
Other values (14) 19
29.2%
ValueCountFrequency (%)
200000 4
6.2%
210000 2
 
3.1%
220000 1
 
1.5%
300000 6
9.2%
320000 1
 
1.5%
350000 5
7.7%
380000 4
6.2%
400000 8
12.3%
420000 4
6.2%
440000 1
 
1.5%
ValueCountFrequency (%)
8500000 1
 
1.5%
4800000 1
 
1.5%
2400000 1
 
1.5%
1800000 1
 
1.5%
1500000 1
 
1.5%
1200000 2
 
3.1%
1100000 2
 
3.1%
850000 2
 
3.1%
750000 5
7.7%
650000 2
 
3.1%

Interactions

2024-03-14T19:32:01.560019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:32:00.091983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:32:00.804989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:32:01.809729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:32:00.321692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:32:01.046798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:32:02.059484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:32:00.572554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:32:01.313664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:32:10.303551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업부영업장객실타입객실타입명평형평방미터객실수기준가격
사업부1.0001.0000.0000.0000.9680.5770.0000.000
영업장1.0001.0000.8310.8470.9660.4630.0000.000
객실타입0.0000.8311.0001.0000.9871.0000.0001.000
객실타입명0.0000.8471.0001.0000.9871.0000.0001.000
평형0.9680.9660.9870.9871.0001.0000.0000.973
평방미터0.5770.4631.0001.0001.0001.0000.0000.876
객실수0.0000.0000.0000.0000.0000.0001.0000.000
기준가격0.0000.0001.0001.0000.9730.8760.0001.000
2024-03-14T19:32:10.493881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업부영업장평형
사업부1.0000.9670.716
영업장0.9671.0000.693
평형0.7160.6931.000
2024-03-14T19:32:10.645958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평방미터객실수기준가격사업부영업장평형
평방미터1.000-0.3190.6630.4230.2640.827
객실수-0.3191.000-0.5240.0000.0000.000
기준가격0.663-0.5241.0000.0000.0000.643
사업부0.4230.0000.0001.0000.9670.716
영업장0.2640.0000.0000.9671.0000.693
평형0.8270.0000.6430.7160.6931.000

Missing values

2024-03-14T19:32:02.399325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:32:02.828206image/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

사업부영업장객실타입객실타입명평형평방미터객실수기준가격
0하이원그랜드호텔메인타워STDStandard Double11평37.02107350000
1하이원그랜드호텔메인타워STTStandard Twin11평37.02175350000
2하이원그랜드호텔메인타워SMDStandard Smoking Double11평37.0213350000
3하이원그랜드호텔메인타워SMTStandard Smoking Twin11평37.0212350000
4하이원그랜드호텔메인타워STRStandard Triple11평37.0258380000
5하이원그랜드호텔메인타워STOStandard Ondol11평37.0224380000
6하이원그랜드호텔메인타워SWDStandard Two Double11평37.0215400000
7하이원그랜드호텔메인타워JSDJunior Suite Double17평55.5224600000
8하이원그랜드호텔메인타워JMDJunior Suite Smoking Double17평55.524600000
9하이원그랜드호텔메인타워JSFJunior Suite Family17평55.5227650000
사업부영업장객실타입객실타입명평형평방미터객실수기준가격
55하이원콘도마운틴PLUS콘도MCRMountain Clean Room (35)35평116.060400000
56하이원콘도마운틴PLUS콘도MNSMountain Noble Suite (60)60평198.010850000
57하이원콘도마운틴PLUS콘도MTSMountain Terrace Suite (60)60평198.030850000
58하이원콘도마운틴PLUS콘도MPHMountain Penthouse (100)100평330.011500000
59하이원콘도힐콘도HSRHill Superior Room (30)25평83.030300000
60하이원콘도힐콘도HSOHill Superior Ondol (30)28평93.092350000
61하이원콘도힐콘도HGDHill Grand Deluxe (35)35평116.078400000
62하이원콘도힐콘도HGSHill Gallery Suite (40)40평132.068450000
63하이원콘도힐콘도HTSHill Terrace Suite(40)40평132.040500000
64하이원콘도힐콘도HPRHill Pet Room(40)40평132.035450000