Overview

Dataset statistics

Number of variables12
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory104.5 B

Variable types

Categorical8
Text1
Numeric3

Dataset

Description양평공사 용문산자연휴양림의 시설현황으로 주소, 시설물명, 시설유형, 인원, 요금, 구조 등의 데이터 항목을 제공합니다.
Author양평공사
URLhttps://www.data.go.kr/data/15110401/fileData.do

Alerts

입실시간 has constant value ""Constant
퇴실시간 has constant value ""Constant
소재지 주소(도로명) has constant value ""Constant
객실구조 is highly overall correlated with 시설물면적(제곱미터) and 6 other fieldsHigh correlation
최대인원(명) is highly overall correlated with 시설물면적(제곱미터) and 6 other fieldsHigh correlation
기본인원(명) is highly overall correlated with 시설물면적(제곱미터) and 5 other fieldsHigh correlation
시설 유형 is highly overall correlated with 시설물면적(제곱미터) and 5 other fieldsHigh correlation
시설물 분류 is highly overall correlated with 시설물면적(제곱미터) and 6 other fieldsHigh correlation
시설물면적(제곱미터) is highly overall correlated with 주말 및 성수기 이용요금(원) and 6 other fieldsHigh correlation
주말 및 성수기 이용요금(원) is highly overall correlated with 시설물면적(제곱미터) and 6 other fieldsHigh correlation
평일 및 비성수기 이용요금(원) is highly overall correlated with 시설물면적(제곱미터) and 6 other fieldsHigh correlation
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:13:35.440133
Analysis finished2023-12-12 19:13:37.180838
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설물 분류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
야영장
20 
숙박시설
18 

Length

Max length4
Median length3
Mean length3.4736842
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
야영장 20
52.6%
숙박시설 18
47.4%

Length

2023-12-13T04:13:37.257675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:13:37.363718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
야영장 20
52.6%
숙박시설 18
47.4%

시설 유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
야영데크
20 
숲속의집
15 
휴양관
3 

Length

Max length4
Median length4
Mean length3.9210526
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
야영데크 20
52.6%
숲속의집 15
39.5%
휴양관 3
 
7.9%

Length

2023-12-13T04:13:37.501901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:13:37.638507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
야영데크 20
52.6%
숲속의집 15
39.5%
휴양관 3
 
7.9%

시설명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T04:13:37.871058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.3684211
Min length4

Characters and Unicode

Total characters204
Distinct characters26
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

Unique38 ?
Unique (%)100.0%

Sample

1st row솔마루1
2nd row솔마루2
3rd row솔마루3
4th row솔마루4
5th row솔마루5
ValueCountFrequency (%)
솔마루1 1
 
2.6%
야영데크10 1
 
2.6%
야영데크19 1
 
2.6%
야영데크4 1
 
2.6%
야영데크5 1
 
2.6%
야영데크6 1
 
2.6%
야영데크7 1
 
2.6%
야영데크8 1
 
2.6%
야영데크9 1
 
2.6%
야영데크12 1
 
2.6%
Other values (28) 28
73.7%
2023-12-13T04:13:38.275716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
크 20
 
9.8%
데 20
 
9.8%
영 20
 
9.8%
야 20
 
9.8%
1 16
 
7.8%
루 15
 
7.4%
마 15
 
7.4%
2 10
 
4.9%
솔 6
 
2.9%
하 6
 
2.9%
Other values (16) 56
27.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149
73.0%
Decimal Number 55
 
27.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
크 20
13.4%
데 20
13.4%
영 20
13.4%
야 20
13.4%
루 15
10.1%
마 15
10.1%
솔 6
 
4.0%
하 6
 
4.0%
늘 6
 
4.0%
관 3
 
2.0%
Other values (6) 18
12.1%
Decimal Number
ValueCountFrequency (%)
1 16
29.1%
2 10
18.2%
3 6
 
10.9%
0 5
 
9.1%
4 4
 
7.3%
5 4
 
7.3%
6 4
 
7.3%
9 2
 
3.6%
7 2
 
3.6%
8 2
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149
73.0%
Common 55
 
27.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
크 20
13.4%
데 20
13.4%
영 20
13.4%
야 20
13.4%
루 15
10.1%
마 15
10.1%
솔 6
 
4.0%
하 6
 
4.0%
늘 6
 
4.0%
관 3
 
2.0%
Other values (6) 18
12.1%
Common
ValueCountFrequency (%)
1 16
29.1%
2 10
18.2%
3 6
 
10.9%
0 5
 
9.1%
4 4
 
7.3%
5 4
 
7.3%
6 4
 
7.3%
9 2
 
3.6%
7 2
 
3.6%
8 2
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149
73.0%
ASCII 55
 
27.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
크 20
13.4%
데 20
13.4%
영 20
13.4%
야 20
13.4%
루 15
10.1%
마 15
10.1%
솔 6
 
4.0%
하 6
 
4.0%
늘 6
 
4.0%
관 3
 
2.0%
Other values (6) 18
12.1%
ASCII
ValueCountFrequency (%)
1 16
29.1%
2 10
18.2%
3 6
 
10.9%
0 5
 
9.1%
4 4
 
7.3%
5 4
 
7.3%
6 4
 
7.3%
9 2
 
3.6%
7 2
 
3.6%
8 2
 
3.6%

시설물면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.631579
Minimum16
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-13T04:13:38.401011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile16
Q116
median16
Q333
95-th percentile53
Maximum101
Range85
Interquartile range (IQR)17

Descriptive statistics

Standard deviation16.135275
Coefficient of variation (CV)0.62950763
Kurtosis12.498534
Mean25.631579
Median Absolute Deviation (MAD)0
Skewness3.0964252
Sum974
Variance260.34708
MonotonicityNot monotonic
2023-12-13T04:13:38.523023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
16 20
52.6%
24 6
 
15.8%
34 6
 
15.8%
33 3
 
7.9%
53 2
 
5.3%
101 1
 
2.6%
ValueCountFrequency (%)
16 20
52.6%
24 6
 
15.8%
33 3
 
7.9%
34 6
 
15.8%
53 2
 
5.3%
101 1
 
2.6%
ValueCountFrequency (%)
101 1
 
2.6%
53 2
 
5.3%
34 6
 
15.8%
33 3
 
7.9%
24 6
 
15.8%
16 20
52.6%

입실시간
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
15:00
38 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15:00
2nd row15:00
3rd row15:00
4th row15:00
5th row15:00

Common Values

ValueCountFrequency (%)
15:00 38
100.0%

Length

2023-12-13T04:13:38.669060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:13:38.788446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15:00 38
100.0%

퇴실시간
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
23:00
38 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row23:00
2nd row23:00
3rd row23:00
4th row23:00
5th row23:00

Common Values

ValueCountFrequency (%)
23:00 38
100.0%

Length

2023-12-13T04:13:38.911959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:13:39.021237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:00 38
100.0%

기본인원(명)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
4
29 
5
8 
15
 
1

Length

Max length2
Median length1
Mean length1.0263158
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 29
76.3%
5 8
 
21.1%
15 1
 
2.6%

Length

2023-12-13T04:13:39.164102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:13:39.287322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 29
76.3%
5 8
 
21.1%
15 1
 
2.6%

최대인원(명)
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
4
20 
6
15 
7
 
2
20
 
1

Length

Max length2
Median length1
Mean length1.0263158
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row6
2nd row6
3rd row6
4th row6
5th row6

Common Values

ValueCountFrequency (%)
4 20
52.6%
6 15
39.5%
7 2
 
5.3%
20 1
 
2.6%

Length

2023-12-13T04:13:39.445760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:13:39.609333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 20
52.6%
6 15
39.5%
7 2
 
5.3%
20 1
 
2.6%

주말 및 성수기 이용요금(원)
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61973.684
Minimum15000
Maximum250000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-13T04:13:39.736268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15000
5-th percentile15000
Q115000
median15000
Q390000
95-th percentile160000
Maximum250000
Range235000
Interquartile range (IQR)75000

Descriptive statistics

Standard deviation57920.489
Coefficient of variation (CV)0.93459813
Kurtosis1.2703406
Mean61973.684
Median Absolute Deviation (MAD)0
Skewness1.1406924
Sum2355000
Variance3.3547831 × 109
MonotonicityNot monotonic
2023-12-13T04:13:39.841833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
15000 20
52.6%
90000 6
 
15.8%
120000 6
 
15.8%
75000 3
 
7.9%
160000 2
 
5.3%
250000 1
 
2.6%
ValueCountFrequency (%)
15000 20
52.6%
75000 3
 
7.9%
90000 6
 
15.8%
120000 6
 
15.8%
160000 2
 
5.3%
250000 1
 
2.6%
ValueCountFrequency (%)
250000 1
 
2.6%
160000 2
 
5.3%
120000 6
 
15.8%
90000 6
 
15.8%
75000 3
 
7.9%
15000 20
52.6%

평일 및 비성수기 이용요금(원)
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42105.263
Minimum10000
Maximum170000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-13T04:13:39.948090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile10000
Q110000
median10000
Q360000
95-th percentile120000
Maximum170000
Range160000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation40212.805
Coefficient of variation (CV)0.95505412
Kurtosis1.3045355
Mean42105.263
Median Absolute Deviation (MAD)0
Skewness1.2011076
Sum1600000
Variance1.6170697 × 109
MonotonicityNot monotonic
2023-12-13T04:13:40.066178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
10000 20
52.6%
60000 6
 
15.8%
80000 6
 
15.8%
50000 3
 
7.9%
120000 2
 
5.3%
170000 1
 
2.6%
ValueCountFrequency (%)
10000 20
52.6%
50000 3
 
7.9%
60000 6
 
15.8%
80000 6
 
15.8%
120000 2
 
5.3%
170000 1
 
2.6%
ValueCountFrequency (%)
170000 1
 
2.6%
120000 2
 
5.3%
80000 6
 
15.8%
60000 6
 
15.8%
50000 3
 
7.9%
10000 20
52.6%

객실구조
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
데크
20 
거실겸주방 화장실 발코니
6 
거실겸주방 복층 화장실 발코니
6 
거실겸주방 화장실
3 
거실겸주방 방1 화장실 발코니
 
2

Length

Max length19
Median length2
Mean length7.6842105
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row거실겸주방 화장실 발코니
2nd row거실겸주방 화장실 발코니
3rd row거실겸주방 화장실 발코니
4th row거실겸주방 화장실 발코니
5th row거실겸주방 화장실 발코니

Common Values

ValueCountFrequency (%)
데크 20
52.6%
거실겸주방 화장실 발코니 6
 
15.8%
거실겸주방 복층 화장실 발코니 6
 
15.8%
거실겸주방 화장실 3
 
7.9%
거실겸주방 방1 화장실 발코니 2
 
5.3%
거실겸주방 방1 방2 화장실 발코니 1
 
2.6%

Length

2023-12-13T04:13:40.215057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:13:40.358037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
데크 20
24.7%
거실겸주방 18
22.2%
화장실 18
22.2%
발코니 15
18.5%
복층 6
 
7.4%
방1 3
 
3.7%
방2 1
 
1.2%

소재지 주소(도로명)
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
경기 양평군 양평읍 약수사길 78-14
38 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기 양평군 양평읍 약수사길 78-14
2nd row경기 양평군 양평읍 약수사길 78-14
3rd row경기 양평군 양평읍 약수사길 78-14
4th row경기 양평군 양평읍 약수사길 78-14
5th row경기 양평군 양평읍 약수사길 78-14

Common Values

ValueCountFrequency (%)
경기 양평군 양평읍 약수사길 78-14 38
100.0%

Length

2023-12-13T04:13:40.504838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:13:40.624757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기 38
20.0%
양평군 38
20.0%
양평읍 38
20.0%
약수사길 38
20.0%
78-14 38
20.0%

Interactions

2023-12-13T04:13:36.526539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:13:35.940310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:13:36.230448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:13:36.643728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:13:36.028015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:13:36.322131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:13:36.736683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:13:36.130387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:13:36.405793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:13:40.710304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설물 분류시설 유형시설명시설물면적(제곱미터)기본인원(명)최대인원(명)주말 및 성수기 이용요금(원)평일 및 비성수기 이용요금(원)객실구조
시설물 분류1.0001.0001.0000.8800.3481.000NaNNaN1.000
시설 유형1.0001.0001.0000.5210.7810.6641.0001.0001.000
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
시설물면적(제곱미터)0.8800.5211.0001.0000.8390.9941.0001.0001.000
기본인원(명)0.3480.7811.0000.8391.0000.7741.0001.0001.000
최대인원(명)1.0000.6641.0000.9940.7741.0001.0001.0001.000
주말 및 성수기 이용요금(원)NaN1.0001.0001.0001.0001.0001.0001.0001.000
평일 및 비성수기 이용요금(원)NaN1.0001.0001.0001.0001.0001.0001.0001.000
객실구조1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-13T04:13:40.875059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객실구조최대인원(명)기본인원(명)시설 유형시설물 분류
객실구조1.0000.9700.9560.9560.943
최대인원(명)0.9701.0000.8170.6810.972
기본인원(명)0.9560.8171.0000.4410.547
시설 유형0.9560.6810.4411.0000.986
시설물 분류0.9430.9720.5470.9861.000
2023-12-13T04:13:40.993772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설물면적(제곱미터)주말 및 성수기 이용요금(원)평일 및 비성수기 이용요금(원)시설물 분류시설 유형기본인원(명)최대인원(명)객실구조
시설물면적(제곱미터)1.0000.9790.9790.6450.8110.9710.8800.985
주말 및 성수기 이용요금(원)0.9791.0001.0000.9430.9560.9560.9701.000
평일 및 비성수기 이용요금(원)0.9791.0001.0000.9430.9560.9560.9701.000
시설물 분류0.6450.9430.9431.0000.9860.5470.9720.943
시설 유형0.8110.9560.9560.9861.0000.4410.6810.956
기본인원(명)0.9710.9560.9560.5470.4411.0000.8170.956
최대인원(명)0.8800.9700.9700.9720.6810.8171.0000.970
객실구조0.9851.0001.0000.9430.9560.9560.9701.000

Missing values

2023-12-13T04:13:36.904315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:13:37.106262image/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

시설물 분류시설 유형시설명시설물면적(제곱미터)입실시간퇴실시간기본인원(명)최대인원(명)주말 및 성수기 이용요금(원)평일 및 비성수기 이용요금(원)객실구조소재지 주소(도로명)
0숙박시설숲속의집솔마루12415:0023:00469000060000거실겸주방 화장실 발코니경기 양평군 양평읍 약수사길 78-14
1숙박시설숲속의집솔마루22415:0023:00469000060000거실겸주방 화장실 발코니경기 양평군 양평읍 약수사길 78-14
2숙박시설숲속의집솔마루32415:0023:00469000060000거실겸주방 화장실 발코니경기 양평군 양평읍 약수사길 78-14
3숙박시설숲속의집솔마루42415:0023:00469000060000거실겸주방 화장실 발코니경기 양평군 양평읍 약수사길 78-14
4숙박시설숲속의집솔마루52415:0023:00469000060000거실겸주방 화장실 발코니경기 양평군 양평읍 약수사길 78-14
5숙박시설숲속의집솔마루62415:0023:00469000060000거실겸주방 화장실 발코니경기 양평군 양평읍 약수사길 78-14
6숙박시설숲속의집하늘마루15315:0023:0057160000120000거실겸주방 방1 화장실 발코니경기 양평군 양평읍 약수사길 78-14
7숙박시설숲속의집하늘마루23415:0023:005612000080000거실겸주방 복층 화장실 발코니경기 양평군 양평읍 약수사길 78-14
8숙박시설숲속의집하늘마루35315:0023:0057160000120000거실겸주방 방1 화장실 발코니경기 양평군 양평읍 약수사길 78-14
9숙박시설숲속의집하늘마루43415:0023:005612000080000거실겸주방 복층 화장실 발코니경기 양평군 양평읍 약수사길 78-14
시설물 분류시설 유형시설명시설물면적(제곱미터)입실시간퇴실시간기본인원(명)최대인원(명)주말 및 성수기 이용요금(원)평일 및 비성수기 이용요금(원)객실구조소재지 주소(도로명)
28야영장야영데크야영데크111615:0023:00441500010000데크경기 양평군 양평읍 약수사길 78-14
29야영장야영데크야영데크121615:0023:00441500010000데크경기 양평군 양평읍 약수사길 78-14
30야영장야영데크야영데크131615:0023:00441500010000데크경기 양평군 양평읍 약수사길 78-14
31야영장야영데크야영데크141615:0023:00441500010000데크경기 양평군 양평읍 약수사길 78-14
32야영장야영데크야영데크151615:0023:00441500010000데크경기 양평군 양평읍 약수사길 78-14
33야영장야영데크야영데크161615:0023:00441500010000데크경기 양평군 양평읍 약수사길 78-14
34야영장야영데크야영데크171615:0023:00441500010000데크경기 양평군 양평읍 약수사길 78-14
35야영장야영데크야영데크181615:0023:00441500010000데크경기 양평군 양평읍 약수사길 78-14
36야영장야영데크야영데크191615:0023:00441500010000데크경기 양평군 양평읍 약수사길 78-14
37야영장야영데크야영데크201615:0023:00441500010000데크경기 양평군 양평읍 약수사길 78-14