Overview

Dataset statistics

Number of variables10
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory93.6 B

Variable types

Numeric4
Categorical5
Text1

Dataset

Description전북특별자치도 데미샘자연휴양림 정보 및 예약률※성수기(7/15~8/24) , 주말(연중 금, 토, 공휴일 전일)코로나19 예방을 위한 운영 중단 (8/21 ~ 10/13)
Author전북특별자치도
URLhttps://www.data.go.kr/data/3080888/fileData.do

Alerts

예약 비수기 has constant value ""Constant
예약 성수기 has constant value ""Constant
예약율 has constant value ""Constant
공실율 has constant value ""Constant
순번 is highly overall correlated with 단가 비수기(평일) and 3 other fieldsHigh correlation
단가 비수기(평일) is highly overall correlated with 순번 and 3 other fieldsHigh correlation
단가 비수기(주말) is highly overall correlated with 순번 and 3 other fieldsHigh correlation
단가 성수기 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
구분 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
순번 has unique valuesUnique
방이름 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:00:28.349524
Analysis finished2024-03-15 01:00:33.240991
Duration4.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-15T10:00:33.364427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2024-03-15T10:00:33.570733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
휴양관
11 
숲속의집
10 
한옥
2 

Length

Max length4
Median length3
Mean length3.3478261
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴양관 11
47.8%
숲속의집 10
43.5%
한옥 2
 
8.7%

Length

2024-03-15T10:00:33.824315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:00:34.074210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴양관 11
47.8%
숲속의집 10
43.5%
한옥 2
 
8.7%

방이름
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
2024-03-15T10:00:34.718623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.6956522
Min length3

Characters and Unicode

Total characters85
Distinct characters43
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row101호
2nd row102호
3rd row103호
4th row104호
5th row105호
ValueCountFrequency (%)
101호 1
 
4.3%
너구리 1
 
4.3%
수향채 1
 
4.3%
하늘소 1
 
4.3%
하늘다람쥐 1
 
4.3%
잠자리 1
 
4.3%
산토끼 1
 
4.3%
부엉이 1
 
4.3%
반딧불이 1
 
4.3%
무당벌레 1
 
4.3%
Other values (13) 13
56.5%
2024-03-15T10:00:35.660282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 11
 
12.9%
0 11
 
12.9%
2 8
 
9.4%
1 7
 
8.2%
리 2
 
2.4%
3 2
 
2.4%
4 2
 
2.4%
5 2
 
2.4%
채 2
 
2.4%
향 2
 
2.4%
Other values (33) 36
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52
61.2%
Decimal Number 33
38.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 11
21.2%
리 2
 
3.8%
채 2
 
3.8%
향 2
 
3.8%
하 2
 
3.8%
늘 2
 
3.8%
이 2
 
3.8%
엉 1
 
1.9%
토 1
 
1.9%
산 1
 
1.9%
Other values (26) 26
50.0%
Decimal Number
ValueCountFrequency (%)
0 11
33.3%
2 8
24.2%
1 7
21.2%
3 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
6 1
 
3.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52
61.2%
Common 33
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 11
21.2%
리 2
 
3.8%
채 2
 
3.8%
향 2
 
3.8%
하 2
 
3.8%
늘 2
 
3.8%
이 2
 
3.8%
엉 1
 
1.9%
토 1
 
1.9%
산 1
 
1.9%
Other values (26) 26
50.0%
Common
ValueCountFrequency (%)
0 11
33.3%
2 8
24.2%
1 7
21.2%
3 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
6 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52
61.2%
ASCII 33
38.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 11
21.2%
리 2
 
3.8%
채 2
 
3.8%
향 2
 
3.8%
하 2
 
3.8%
늘 2
 
3.8%
이 2
 
3.8%
엉 1
 
1.9%
토 1
 
1.9%
산 1
 
1.9%
Other values (26) 26
50.0%
ASCII
ValueCountFrequency (%)
0 11
33.3%
2 8
24.2%
1 7
21.2%
3 2
 
6.1%
4 2
 
6.1%
5 2
 
6.1%
6 1
 
3.0%

단가 비수기(평일)
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59773.913
Minimum28000
Maximum133000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-15T10:00:35.856620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28000
5-th percentile28000
Q135000
median49000
Q391000
95-th percentile120820
Maximum133000
Range105000
Interquartile range (IQR)56000

Descriptive statistics

Standard deviation33326.937
Coefficient of variation (CV)0.55754987
Kurtosis-0.4891582
Mean59773.913
Median Absolute Deviation (MAD)21000
Skewness0.90759588
Sum1374800
Variance1.1106847 × 109
MonotonicityNot monotonic
2024-03-15T10:00:36.054402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
35000 6
26.1%
49000 5
21.7%
28000 4
17.4%
91000 4
17.4%
133000 1
 
4.3%
112000 1
 
4.3%
77000 1
 
4.3%
121800 1
 
4.3%
ValueCountFrequency (%)
28000 4
17.4%
35000 6
26.1%
49000 5
21.7%
77000 1
 
4.3%
91000 4
17.4%
112000 1
 
4.3%
121800 1
 
4.3%
133000 1
 
4.3%
ValueCountFrequency (%)
133000 1
 
4.3%
121800 1
 
4.3%
112000 1
 
4.3%
91000 4
17.4%
77000 1
 
4.3%
49000 5
21.7%
35000 6
26.1%
28000 4
17.4%

단가 비수기(주말)
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85391.304
Minimum40000
Maximum190000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-15T10:00:36.296308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40000
5-th percentile40000
Q150000
median70000
Q3130000
95-th percentile172600
Maximum190000
Range150000
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation47609.91
Coefficient of variation (CV)0.55754987
Kurtosis-0.4891582
Mean85391.304
Median Absolute Deviation (MAD)30000
Skewness0.90759588
Sum1964000
Variance2.2667036 × 109
MonotonicityNot monotonic
2024-03-15T10:00:36.498469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
50000 6
26.1%
70000 5
21.7%
40000 4
17.4%
130000 4
17.4%
190000 1
 
4.3%
160000 1
 
4.3%
110000 1
 
4.3%
174000 1
 
4.3%
ValueCountFrequency (%)
40000 4
17.4%
50000 6
26.1%
70000 5
21.7%
110000 1
 
4.3%
130000 4
17.4%
160000 1
 
4.3%
174000 1
 
4.3%
190000 1
 
4.3%
ValueCountFrequency (%)
190000 1
 
4.3%
174000 1
 
4.3%
160000 1
 
4.3%
130000 4
17.4%
110000 1
 
4.3%
70000 5
21.7%
50000 6
26.1%
40000 4
17.4%

단가 성수기
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85391.304
Minimum40000
Maximum190000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-15T10:00:36.792980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40000
5-th percentile40000
Q150000
median70000
Q3130000
95-th percentile172600
Maximum190000
Range150000
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation47609.91
Coefficient of variation (CV)0.55754987
Kurtosis-0.4891582
Mean85391.304
Median Absolute Deviation (MAD)30000
Skewness0.90759588
Sum1964000
Variance2.2667036 × 109
MonotonicityNot monotonic
2024-03-15T10:00:36.986293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
50000 6
26.1%
70000 5
21.7%
40000 4
17.4%
130000 4
17.4%
190000 1
 
4.3%
160000 1
 
4.3%
110000 1
 
4.3%
174000 1
 
4.3%
ValueCountFrequency (%)
40000 4
17.4%
50000 6
26.1%
70000 5
21.7%
110000 1
 
4.3%
130000 4
17.4%
160000 1
 
4.3%
174000 1
 
4.3%
190000 1
 
4.3%
ValueCountFrequency (%)
190000 1
 
4.3%
174000 1
 
4.3%
160000 1
 
4.3%
130000 4
17.4%
110000 1
 
4.3%
70000 5
21.7%
50000 6
26.1%
40000 4
17.4%

예약 비수기
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
0
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23
100.0%

Length

2024-03-15T10:00:37.390676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:00:37.651508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
100.0%

예약 성수기
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
0
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23
100.0%

Length

2024-03-15T10:00:37.895219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:00:38.053378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
100.0%

예약율
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
0
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23
100.0%

Length

2024-03-15T10:00:38.400373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:00:38.601625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
100.0%

공실율
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size312.0 B
100
23 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 23
100.0%

Length

2024-03-15T10:00:38.759825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:00:38.955702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 23
100.0%

Interactions

2024-03-15T10:00:31.247341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:00:28.669158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:00:29.259444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:00:30.222105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:00:31.492485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:00:28.796649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:00:29.477692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:00:30.467835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:00:31.734518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:00:28.948896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:00:29.711016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:00:30.711723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:00:32.181879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:00:29.109646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:00:29.966774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:00:30.981615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:00:39.133899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분방이름단가 비수기(평일)단가 비수기(주말)단가 성수기
순번1.0000.8811.0000.7790.7790.779
구분0.8811.0001.0001.0001.0001.000
방이름1.0001.0001.0001.0001.0001.000
단가 비수기(평일)0.7791.0001.0001.0001.0001.000
단가 비수기(주말)0.7791.0001.0001.0001.0001.000
단가 성수기0.7791.0001.0001.0001.0001.000
2024-03-15T10:00:39.318692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번단가 비수기(평일)단가 비수기(주말)단가 성수기구분
순번1.0000.7110.7110.7110.600
단가 비수기(평일)0.7111.0001.0001.0000.894
단가 비수기(주말)0.7111.0001.0001.0000.894
단가 성수기0.7111.0001.0001.0000.894
구분0.6000.8940.8940.8941.000

Missing values

2024-03-15T10:00:32.550703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:00:33.050798image/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

순번구분방이름단가 비수기(평일)단가 비수기(주말)단가 성수기예약 비수기예약 성수기예약율공실율
01휴양관101호350005000050000000100
12휴양관102호350005000050000000100
23휴양관103호350005000050000000100
34휴양관104호280004000040000000100
45휴양관105호280004000040000000100
56휴양관201호350005000050000000100
67휴양관202호350005000050000000100
78휴양관203호350005000050000000100
89휴양관204호280004000040000000100
910휴양관205호280004000040000000100
순번구분방이름단가 비수기(평일)단가 비수기(주말)단가 성수기예약 비수기예약 성수기예약율공실율
1314숲속의집메뚜기490007000070000000100
1415숲속의집무당벌레490007000070000000100
1516숲속의집반딧불이490007000070000000100
1617숲속의집부엉이91000130000130000000100
1718숲속의집산토끼91000130000130000000100
1819숲속의집잠자리490007000070000000100
1920숲속의집하늘다람쥐112000160000160000000100
2021숲속의집하늘소490007000070000000100
2122한옥수향채77000110000110000000100
2223한옥운향채121800174000174000000100