Overview

Dataset statistics

Number of variables8
Number of observations54
Missing cells13
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory69.4 B

Variable types

Categorical2
Text3
Numeric3

Dataset

Description횡성군 관내 캠핑장(야영장) 현황 횡성군 관내에 운영중인 캠핑장이름과 캡핑장 주소 영업개시일자 사이트 규모등을 제공 관내 관광시 참고 할수 있는 자료 제공 횡성 관내 숙박시설 중 야영 및 캠핑숙박시설 자료 제공
Author강원특별자치도 횡성군
URLhttps://www.data.go.kr/data/15126823/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
부지면적(제곱미터) is highly overall correlated with 사이트 수(개수)High correlation
사이트 수(개수) is highly overall correlated with 부지면적(제곱미터)High correlation
건축연면적(제곱미터) has 8 (14.8%) missing valuesMissing
사이트 수(개수) has 5 (9.3%) missing valuesMissing
야영장 명칭 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-04-21 23:59:09.799562
Analysis finished2024-04-21 23:59:11.089667
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
강원특별자치도
54 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 54
100.0%

Length

2024-04-22T08:59:11.143724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T08:59:11.226995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 54
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
횡성군
54 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
횡성군 54
100.0%

Length

2024-04-22T08:59:11.305099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T08:59:11.381757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
횡성군 54
100.0%

야영장 명칭
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-22T08:59:11.542105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length13
Mean length8.037037
Min length3

Characters and Unicode

Total characters434
Distinct characters155
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row횡성초보캠핑장
2nd row동그라미캠핑장
3rd row라라솔캠핑장
4th row로드스타
5th row국립자연휴양림관리소(동부지역팀 청태산자연휴양림)
ValueCountFrequency (%)
캠핑장 8
 
9.1%
야영장 7
 
8.0%
횡성 4
 
4.5%
오토캠핑장 3
 
3.4%
귀촌 2
 
2.3%
횡성초보캠핑장 1
 
1.1%
숲속행성 1
 
1.1%
사발소캠핑장 1
 
1.1%
봉즈살롱 1
 
1.1%
카우보이 1
 
1.1%
Other values (59) 59
67.0%
2024-04-22T08:59:11.845243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
 
7.8%
장 31
 
7.1%
캠 26
 
6.0%
핑 23
 
5.3%
야 11
 
2.5%
영 10
 
2.3%
성 10
 
2.3%
횡 9
 
2.1%
리 9
 
2.1%
자 8
 
1.8%
Other values (145) 263
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 385
88.7%
Space Separator 34
 
7.8%
Uppercase Letter 12
 
2.8%
Decimal Number 1
 
0.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 31
 
8.1%
캠 26
 
6.8%
핑 23
 
6.0%
야 11
 
2.9%
영 10
 
2.6%
성 10
 
2.6%
횡 9
 
2.3%
리 9
 
2.3%
자 8
 
2.1%
프 7
 
1.8%
Other values (131) 241
62.6%
Uppercase Letter
ValueCountFrequency (%)
A 2
16.7%
T 2
16.7%
P 1
8.3%
I 1
8.3%
C 1
8.3%
N 1
8.3%
G 1
8.3%
M 1
8.3%
S 1
8.3%
H 1
8.3%
Space Separator
ValueCountFrequency (%)
34
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 385
88.7%
Common 37
 
8.5%
Latin 12
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 31
 
8.1%
캠 26
 
6.8%
핑 23
 
6.0%
야 11
 
2.9%
영 10
 
2.6%
성 10
 
2.6%
횡 9
 
2.3%
리 9
 
2.3%
자 8
 
2.1%
프 7
 
1.8%
Other values (131) 241
62.6%
Latin
ValueCountFrequency (%)
A 2
16.7%
T 2
16.7%
P 1
8.3%
I 1
8.3%
C 1
8.3%
N 1
8.3%
G 1
8.3%
M 1
8.3%
S 1
8.3%
H 1
8.3%
Common
ValueCountFrequency (%)
34
91.9%
3 1
 
2.7%
( 1
 
2.7%
) 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 385
88.7%
ASCII 49
 
11.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34
69.4%
A 2
 
4.1%
T 2
 
4.1%
3 1
 
2.0%
P 1
 
2.0%
I 1
 
2.0%
C 1
 
2.0%
N 1
 
2.0%
G 1
 
2.0%
M 1
 
2.0%
Other values (4) 4
 
8.2%
Hangul
ValueCountFrequency (%)
장 31
 
8.1%
캠 26
 
6.8%
핑 23
 
6.0%
야 11
 
2.9%
영 10
 
2.6%
성 10
 
2.6%
횡 9
 
2.3%
리 9
 
2.3%
자 8
 
2.1%
프 7
 
1.8%
Other values (131) 241
62.6%

소재지
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-22T08:59:12.098474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length13.296296
Min length10

Characters and Unicode

Total characters718
Distinct characters87
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row서원면 취석2길 187
2nd row우천면 실미송한길 367-24
3rd row서원면 경강로 646-30
4th row갑천면 어답산로 162-33
5th row둔내면 청태산로 610
ValueCountFrequency (%)
서원면 12
 
7.3%
청일면 12
 
7.3%
갑천면 10
 
6.1%
둔내면 8
 
4.8%
우천면 6
 
3.6%
경강로 4
 
2.4%
강림면 3
 
1.8%
청일로 3
 
1.8%
공근면 3
 
1.8%
용현로 3
 
1.8%
Other values (95) 101
61.2%
2024-04-22T08:59:12.466609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
15.5%
면 54
 
7.5%
1 46
 
6.4%
로 34
 
4.7%
2 28
 
3.9%
3 25
 
3.5%
0 24
 
3.3%
길 22
 
3.1%
- 20
 
2.8%
6 20
 
2.8%
Other values (77) 334
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 371
51.7%
Decimal Number 216
30.1%
Space Separator 111
 
15.5%
Dash Punctuation 20
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 54
 
14.6%
로 34
 
9.2%
길 22
 
5.9%
청 19
 
5.1%
천 18
 
4.9%
일 17
 
4.6%
서 15
 
4.0%
원 14
 
3.8%
강 11
 
3.0%
갑 11
 
3.0%
Other values (65) 156
42.0%
Decimal Number
ValueCountFrequency (%)
1 46
21.3%
2 28
13.0%
3 25
11.6%
0 24
11.1%
6 20
9.3%
7 19
8.8%
5 18
 
8.3%
4 14
 
6.5%
9 12
 
5.6%
8 10
 
4.6%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 371
51.7%
Common 347
48.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 54
 
14.6%
로 34
 
9.2%
길 22
 
5.9%
청 19
 
5.1%
천 18
 
4.9%
일 17
 
4.6%
서 15
 
4.0%
원 14
 
3.8%
강 11
 
3.0%
갑 11
 
3.0%
Other values (65) 156
42.0%
Common
ValueCountFrequency (%)
111
32.0%
1 46
13.3%
2 28
 
8.1%
3 25
 
7.2%
0 24
 
6.9%
- 20
 
5.8%
6 20
 
5.8%
7 19
 
5.5%
5 18
 
5.2%
4 14
 
4.0%
Other values (2) 22
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 371
51.7%
ASCII 347
48.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
32.0%
1 46
13.3%
2 28
 
8.1%
3 25
 
7.2%
0 24
 
6.9%
- 20
 
5.8%
6 20
 
5.8%
7 19
 
5.5%
5 18
 
5.2%
4 14
 
4.0%
Other values (2) 22
 
6.3%
Hangul
ValueCountFrequency (%)
면 54
 
14.6%
로 34
 
9.2%
길 22
 
5.9%
청 19
 
5.1%
천 18
 
4.9%
일 17
 
4.6%
서 15
 
4.0%
원 14
 
3.8%
강 11
 
3.0%
갑 11
 
3.0%
Other values (65) 156
42.0%

등록일
Text

Distinct49
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-22T08:59:12.974592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters540
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

Unique44 ?
Unique (%)81.5%

Sample

1st row2015-02-24
2nd row2015-03-27
3rd row2015-04-07
4th row2015-04-28
5th row2015-05-29
ValueCountFrequency (%)
2015-05-29 2
 
3.7%
2015-08-01 2
 
3.7%
2021-11-09 2
 
3.7%
2023-01-27 2
 
3.7%
2015-07-27 2
 
3.7%
2021-10-29 1
 
1.9%
2015-02-24 1
 
1.9%
2022-06-02 1
 
1.9%
2018-11-02 1
 
1.9%
2018-11-19 1
 
1.9%
Other values (39) 39
72.2%
2024-04-22T08:59:13.298794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 130
24.1%
2 110
20.4%
- 108
20.0%
1 77
14.3%
5 26
 
4.8%
7 22
 
4.1%
3 18
 
3.3%
9 17
 
3.1%
8 14
 
2.6%
6 12
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
80.0%
Dash Punctuation 108
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 130
30.1%
2 110
25.5%
1 77
17.8%
5 26
 
6.0%
7 22
 
5.1%
3 18
 
4.2%
9 17
 
3.9%
8 14
 
3.2%
6 12
 
2.8%
4 6
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 540
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 130
24.1%
2 110
20.4%
- 108
20.0%
1 77
14.3%
5 26
 
4.8%
7 22
 
4.1%
3 18
 
3.3%
9 17
 
3.1%
8 14
 
2.6%
6 12
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 130
24.1%
2 110
20.4%
- 108
20.0%
1 77
14.3%
5 26
 
4.8%
7 22
 
4.1%
3 18
 
3.3%
9 17
 
3.1%
8 14
 
2.6%
6 12
 
2.2%

부지면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5409.0556
Minimum458
Maximum62277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-22T08:59:13.437611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum458
5-th percentile923.9
Q12199.5
median3308
Q35685.25
95-th percentile11973.15
Maximum62277
Range61819
Interquartile range (IQR)3485.75

Descriptive statistics

Standard deviation8579.0248
Coefficient of variation (CV)1.5860486
Kurtosis37.755657
Mean5409.0556
Median Absolute Deviation (MAD)1661
Skewness5.7564206
Sum292089
Variance73599666
MonotonicityNot monotonic
2024-04-22T08:59:13.572844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3308 2
 
3.7%
4990 2
 
3.7%
4242 1
 
1.9%
2773 1
 
1.9%
3626 1
 
1.9%
2540 1
 
1.9%
8235 1
 
1.9%
3012 1
 
1.9%
2874 1
 
1.9%
7294 1
 
1.9%
Other values (42) 42
77.8%
ValueCountFrequency (%)
458 1
1.9%
720 1
1.9%
842 1
1.9%
968 1
1.9%
1000 1
1.9%
1114 1
1.9%
1125 1
1.9%
1510 1
1.9%
1535 1
1.9%
1543 1
1.9%
ValueCountFrequency (%)
62277 1
1.9%
17841 1
1.9%
13500 1
1.9%
11151 1
1.9%
9986 1
1.9%
9004 1
1.9%
8297 1
1.9%
8235 1
1.9%
7668 1
1.9%
7519 1
1.9%

건축연면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)95.7%
Missing8
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean300.17196
Minimum10
Maximum3567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-22T08:59:13.707606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile53.5
Q197.125
median187.145
Q3297
95-th percentile813.8075
Maximum3567
Range3557
Interquartile range (IQR)199.875

Descriptive statistics

Standard deviation529.54589
Coefficient of variation (CV)1.7641418
Kurtosis33.664597
Mean300.17196
Median Absolute Deviation (MAD)102.645
Skewness5.4939018
Sum13807.91
Variance280418.85
MonotonicityNot monotonic
2024-04-22T08:59:13.833412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
297.0 2
 
3.7%
204.0 2
 
3.7%
652.42 1
 
1.9%
276.43 1
 
1.9%
10.0 1
 
1.9%
402.0 1
 
1.9%
82.0 1
 
1.9%
58.0 1
 
1.9%
60.0 1
 
1.9%
192.0 1
 
1.9%
Other values (34) 34
63.0%
(Missing) 8
 
14.8%
ValueCountFrequency (%)
10.0 1
1.9%
15.0 1
1.9%
52.0 1
1.9%
58.0 1
1.9%
60.0 1
1.9%
72.0 1
1.9%
72.6 1
1.9%
72.84 1
1.9%
74.86 1
1.9%
82.0 1
1.9%
ValueCountFrequency (%)
3567.0 1
1.9%
880.0 1
1.9%
861.41 1
1.9%
671.0 1
1.9%
652.42 1
1.9%
402.0 1
1.9%
340.35 1
1.9%
321.0 1
1.9%
317.55 1
1.9%
312.0 1
1.9%

사이트 수(개수)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct28
Distinct (%)57.1%
Missing5
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean20.44898
Minimum2
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-22T08:59:13.975259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q19
median16
Q325
95-th percentile45
Maximum119
Range117
Interquartile range (IQR)16

Descriptive statistics

Standard deviation18.920955
Coefficient of variation (CV)0.92527626
Kurtosis14.827756
Mean20.44898
Median Absolute Deviation (MAD)8
Skewness3.2327279
Sum1002
Variance358.00255
MonotonicityNot monotonic
2024-04-22T08:59:14.090451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
7 5
 
9.3%
10 4
 
7.4%
4 3
 
5.6%
9 3
 
5.6%
17 2
 
3.7%
25 2
 
3.7%
24 2
 
3.7%
13 2
 
3.7%
11 2
 
3.7%
15 2
 
3.7%
Other values (18) 22
40.7%
(Missing) 5
 
9.3%
ValueCountFrequency (%)
2 1
 
1.9%
4 3
5.6%
6 1
 
1.9%
7 5
9.3%
9 3
5.6%
10 4
7.4%
11 2
 
3.7%
12 1
 
1.9%
13 2
 
3.7%
15 2
 
3.7%
ValueCountFrequency (%)
119 1
1.9%
57 1
1.9%
45 2
3.7%
42 1
1.9%
36 1
1.9%
33 1
1.9%
32 1
1.9%
30 2
3.7%
29 1
1.9%
26 1
1.9%

Interactions

2024-04-22T08:59:10.576567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T08:59:10.076566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T08:59:10.312806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T08:59:10.655335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T08:59:10.151934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T08:59:10.395412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T08:59:10.736026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T08:59:10.234108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T08:59:10.492616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-22T08:59:14.172589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
야영장 명칭소재지등록일부지면적(제곱미터)건축연면적(제곱미터)사이트 수(개수)
야영장 명칭1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
등록일1.0001.0001.0000.0001.0000.000
부지면적(제곱미터)1.0001.0000.0001.0000.7750.822
건축연면적(제곱미터)1.0001.0001.0000.7751.0000.000
사이트 수(개수)1.0001.0000.0000.8220.0001.000
2024-04-22T08:59:14.268543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부지면적(제곱미터)건축연면적(제곱미터)사이트 수(개수)
부지면적(제곱미터)1.0000.3150.550
건축연면적(제곱미터)0.3151.0000.098
사이트 수(개수)0.5500.0981.000

Missing values

2024-04-22T08:59:10.849909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T08:59:10.959457image/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.
2024-04-22T08:59:11.045361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시도시군구야영장 명칭소재지등록일부지면적(제곱미터)건축연면적(제곱미터)사이트 수(개수)
0강원특별자치도횡성군횡성초보캠핑장서원면 취석2길 1872015-02-243275157.2932
1강원특별자치도횡성군동그라미캠핑장우천면 실미송한길 367-242015-03-27377074.8612
2강원특별자치도횡성군라라솔캠핑장서원면 경강로 646-302015-04-079986340.3545
3강원특별자치도횡성군로드스타갑천면 어답산로 162-332015-04-282904175.520
4강원특별자치도횡성군국립자연휴양림관리소(동부지역팀 청태산자연휴양림)둔내면 청태산로 6102015-05-291000128.730
5강원특별자치도횡성군THATS CAMPING 횡성자연휴양림야영장갑천면 정포로430번길 1132015-05-297668166.033
6강원특별자치도횡성군웰리힐리파크 오토캠핑장둔내면 고원로 451-12015-06-0513500<NA>57
7강원특별자치도횡성군모야의숲 캠핑장청일면 청일로 9862015-06-083959138.036
8강원특별자치도횡성군벳소캠프우천면 전재호수길 662015-07-06720<NA>4
9강원특별자치도횡성군주천강자연휴양림둔내면 강변로영랑6길 1152015-07-202970<NA>9
시도시군구야영장 명칭소재지등록일부지면적(제곱미터)건축연면적(제곱미터)사이트 수(개수)
44강원특별자치도횡성군숲 나들이 야영장서원면 신평석화로 4592021-11-092980321.07
45강원특별자치도횡성군노섬브리아 야영장둔내면 청태산로 154번길 220-402022-12-05842<NA>2
46강원특별자치도횡성군월현 포레스트강림면 월안길 2512022-12-288297222.025
47강원특별자치도횡성군귀촌 야영장갑천면 병지방길 2372023-01-27212815.06
48강원특별자치도횡성군새말캠핑장우천면 봉화로 2812023-01-274870196.016
49강원특별자치도횡성군오클라 캠핑장갑천면 삼거리 227-302023-03-201115187.026
50강원특별자치도횡성군팜스프링 야영장우천면 전재호수길 1682023-08-09499097.029
51강원특별자치도횡성군월강캠프강림면 월강길 1002023-09-224967204.024
52강원특별자치도횡성군횡성 태기산 별밤 캠핑장청일면 청일로 6072023-09-272672129.09
53강원특별자치도횡성군산수향 야영장서원면 옥계6길 662023-10-10409952.017