Overview

Dataset statistics

Number of variables7
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory60.6 B

Variable types

Numeric2
DateTime2
Text3

Dataset

Description강원특별자치도 평창군 내 캠핑장 야영장 현황으로 연번, 등록일자, 소재지(지번주소, 도로명주소), 사이트수, 데이터기준일자 항목에 대한 데이터를 제공합니다.
Author강원특별자치도 평창군
URLhttps://www.data.go.kr/data/15126734/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
상호 has unique valuesUnique
소재지(지번) has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:32:21.426899
Analysis finished2024-03-14 09:32:23.257557
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-03-14T18:32:23.388125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2024-03-14T18:32:23.643385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

등록일자
Date

Distinct47
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size520.0 B
Minimum2015-03-17 00:00:00
Maximum2024-01-30 00:00:00
2024-03-14T18:32:23.877749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:32:24.209826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

상호
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-03-14T18:32:25.005871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length13
Mean length8.1428571
Min length2

Characters and Unicode

Total characters399
Distinct characters157
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row캠프 고토일
2nd row흥정계곡 캠핑700
3rd row해마루 캠핑장
4th row꿈의대화캠핑장
5th row국립두타산자연휴양림
ValueCountFrequency (%)
캠핑장 10
 
11.6%
평창 4
 
4.7%
오토캠핑장 2
 
2.3%
캠핑 2
 
2.3%
캠프 2
 
2.3%
흥정계곡 2
 
2.3%
바샘 1
 
1.2%
캠핑클럽 1
 
1.2%
화기애애 1
 
1.2%
단풍 1
 
1.2%
Other values (60) 60
69.8%
2024-03-14T18:32:26.106458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
9.3%
핑 32
 
8.0%
캠 30
 
7.5%
장 27
 
6.8%
마 9
 
2.3%
산 7
 
1.8%
야 7
 
1.8%
0 6
 
1.5%
계 5
 
1.3%
오 5
 
1.3%
Other values (147) 234
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 345
86.5%
Space Separator 37
 
9.3%
Decimal Number 12
 
3.0%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
핑 32
 
9.3%
캠 30
 
8.7%
장 27
 
7.8%
마 9
 
2.6%
산 7
 
2.0%
야 7
 
2.0%
계 5
 
1.4%
오 5
 
1.4%
리 5
 
1.4%
영 5
 
1.4%
Other values (138) 213
61.7%
Decimal Number
ValueCountFrequency (%)
0 6
50.0%
4 2
 
16.7%
7 2
 
16.7%
6 1
 
8.3%
9 1
 
8.3%
Space Separator
ValueCountFrequency (%)
37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 345
86.5%
Common 54
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
핑 32
 
9.3%
캠 30
 
8.7%
장 27
 
7.8%
마 9
 
2.6%
산 7
 
2.0%
야 7
 
2.0%
계 5
 
1.4%
오 5
 
1.4%
리 5
 
1.4%
영 5
 
1.4%
Other values (138) 213
61.7%
Common
ValueCountFrequency (%)
37
68.5%
0 6
 
11.1%
4 2
 
3.7%
7 2
 
3.7%
( 2
 
3.7%
) 2
 
3.7%
6 1
 
1.9%
& 1
 
1.9%
9 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 345
86.5%
ASCII 54
 
13.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
68.5%
0 6
 
11.1%
4 2
 
3.7%
7 2
 
3.7%
( 2
 
3.7%
) 2
 
3.7%
6 1
 
1.9%
& 1
 
1.9%
9 1
 
1.9%
Hangul
ValueCountFrequency (%)
핑 32
 
9.3%
캠 30
 
8.7%
장 27
 
7.8%
마 9
 
2.6%
산 7
 
2.0%
야 7
 
2.0%
계 5
 
1.4%
오 5
 
1.4%
리 5
 
1.4%
영 5
 
1.4%
Other values (138) 213
61.7%

소재지(지번)
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-03-14T18:32:27.071665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length25.44898
Min length23

Characters and Unicode

Total characters1247
Distinct characters73
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

Unique49 ?
Unique (%)100.0%

Sample

1st row강원특별자치도 평창군 봉평면 흥정리 190-32
2nd row강원특별자치도 평창군 봉평면 흥정리 372
3rd row강원특별자치도 평창군 봉평면 흥정리 179-1
4th row강원특별자치도 평창군 대화면 대화리 1150-3
5th row강원특별자치도 평창군 진부면 수항리 산 10
ValueCountFrequency (%)
강원특별자치도 49
19.8%
평창군 49
19.8%
봉평면 28
 
11.3%
흥정리 16
 
6.5%
용평면 6
 
2.4%
미탄면 6
 
2.4%
원길리 4
 
1.6%
진부면 4
 
1.6%
방림면 3
 
1.2%
유포리 3
 
1.2%
Other values (69) 79
32.0%
2024-03-14T18:32:28.412373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
247
19.8%
평 85
 
6.8%
원 53
 
4.3%
창 50
 
4.0%
강 49
 
3.9%
군 49
 
3.9%
리 49
 
3.9%
도 49
 
3.9%
자 49
 
3.9%
별 49
 
3.9%
Other values (63) 518
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 794
63.7%
Space Separator 247
 
19.8%
Decimal Number 174
 
14.0%
Dash Punctuation 32
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 85
 
10.7%
원 53
 
6.7%
창 50
 
6.3%
강 49
 
6.2%
군 49
 
6.2%
리 49
 
6.2%
도 49
 
6.2%
자 49
 
6.2%
별 49
 
6.2%
특 49
 
6.2%
Other values (51) 263
33.1%
Decimal Number
ValueCountFrequency (%)
1 36
20.7%
2 24
13.8%
3 24
13.8%
8 18
10.3%
6 17
9.8%
9 14
 
8.0%
5 13
 
7.5%
0 13
 
7.5%
7 12
 
6.9%
4 3
 
1.7%
Space Separator
ValueCountFrequency (%)
247
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 794
63.7%
Common 453
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 85
 
10.7%
원 53
 
6.7%
창 50
 
6.3%
강 49
 
6.2%
군 49
 
6.2%
리 49
 
6.2%
도 49
 
6.2%
자 49
 
6.2%
별 49
 
6.2%
특 49
 
6.2%
Other values (51) 263
33.1%
Common
ValueCountFrequency (%)
247
54.5%
1 36
 
7.9%
- 32
 
7.1%
2 24
 
5.3%
3 24
 
5.3%
8 18
 
4.0%
6 17
 
3.8%
9 14
 
3.1%
5 13
 
2.9%
0 13
 
2.9%
Other values (2) 15
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 794
63.7%
ASCII 453
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
247
54.5%
1 36
 
7.9%
- 32
 
7.1%
2 24
 
5.3%
3 24
 
5.3%
8 18
 
4.0%
6 17
 
3.8%
9 14
 
3.1%
5 13
 
2.9%
0 13
 
2.9%
Other values (2) 15
 
3.3%
Hangul
ValueCountFrequency (%)
평 85
 
10.7%
원 53
 
6.7%
창 50
 
6.3%
강 49
 
6.2%
군 49
 
6.2%
리 49
 
6.2%
도 49
 
6.2%
자 49
 
6.2%
별 49
 
6.2%
특 49
 
6.2%
Other values (51) 263
33.1%

소재지(도로명)
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
2024-03-14T18:32:29.483450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length26.693878
Min length23

Characters and Unicode

Total characters1308
Distinct characters110
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row강원특별자치도 평창군 봉평면 흥정계곡3길 60
2nd row강원특별자치도 평창군 봉평면 흥정계곡4길 91
3rd row강원특별자치도 평창군 봉평면 흥정계곡2길 75
4th row강원특별자치도 평창군 대화면 해뜰마을길 49-7
5th row강원특별자치도 평창군 진부면 아차골길 132
ValueCountFrequency (%)
강원특별자치도 49
19.7%
평창군 49
19.7%
봉평면 28
 
11.2%
흥정계곡4길 10
 
4.0%
미탄면 6
 
2.4%
용평면 6
 
2.4%
진부면 4
 
1.6%
흥정계곡길 4
 
1.6%
방림면 3
 
1.2%
이승복생가길 2
 
0.8%
Other values (83) 88
35.3%
2024-03-14T18:32:30.977977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
 
15.4%
평 87
 
6.7%
창 51
 
3.9%
원 50
 
3.8%
강 50
 
3.8%
치 49
 
3.7%
도 49
 
3.7%
자 49
 
3.7%
별 49
 
3.7%
군 49
 
3.7%
Other values (100) 623
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 876
67.0%
Space Separator 202
 
15.4%
Decimal Number 193
 
14.8%
Dash Punctuation 30
 
2.3%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 87
 
9.9%
창 51
 
5.8%
원 50
 
5.7%
강 50
 
5.7%
치 49
 
5.6%
도 49
 
5.6%
자 49
 
5.6%
별 49
 
5.6%
군 49
 
5.6%
특 49
 
5.6%
Other values (85) 344
39.3%
Decimal Number
ValueCountFrequency (%)
1 34
17.6%
2 33
17.1%
4 25
13.0%
3 24
12.4%
5 17
8.8%
7 16
8.3%
6 14
7.3%
9 13
 
6.7%
0 9
 
4.7%
8 8
 
4.1%
Space Separator
ValueCountFrequency (%)
202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 876
67.0%
Common 432
33.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 87
 
9.9%
창 51
 
5.8%
원 50
 
5.7%
강 50
 
5.7%
치 49
 
5.6%
도 49
 
5.6%
자 49
 
5.6%
별 49
 
5.6%
군 49
 
5.6%
특 49
 
5.6%
Other values (85) 344
39.3%
Common
ValueCountFrequency (%)
202
46.8%
1 34
 
7.9%
2 33
 
7.6%
- 30
 
6.9%
4 25
 
5.8%
3 24
 
5.6%
5 17
 
3.9%
7 16
 
3.7%
6 14
 
3.2%
9 13
 
3.0%
Other values (5) 24
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 876
67.0%
ASCII 432
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
46.8%
1 34
 
7.9%
2 33
 
7.6%
- 30
 
6.9%
4 25
 
5.8%
3 24
 
5.6%
5 17
 
3.9%
7 16
 
3.7%
6 14
 
3.2%
9 13
 
3.0%
Other values (5) 24
 
5.6%
Hangul
ValueCountFrequency (%)
평 87
 
9.9%
창 51
 
5.8%
원 50
 
5.7%
강 50
 
5.7%
치 49
 
5.6%
도 49
 
5.6%
자 49
 
5.6%
별 49
 
5.6%
군 49
 
5.6%
특 49
 
5.6%
Other values (85) 344
39.3%

사이트수
Real number (ℝ)

Distinct26
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.163265
Minimum1
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size569.0 B
2024-03-14T18:32:31.284548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q19
median12
Q326
95-th percentile41.8
Maximum106
Range105
Interquartile range (IQR)17

Descriptive statistics

Standard deviation20.538933
Coefficient of variation (CV)1.0186313
Kurtosis9.6101948
Mean20.163265
Median Absolute Deviation (MAD)5
Skewness2.8446654
Sum988
Variance421.84779
MonotonicityNot monotonic
2024-03-14T18:32:31.506933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
10 10
20.4%
8 4
 
8.2%
12 3
 
6.1%
40 3
 
6.1%
9 3
 
6.1%
25 2
 
4.1%
7 2
 
4.1%
30 2
 
4.1%
18 2
 
4.1%
1 2
 
4.1%
Other values (16) 16
32.7%
ValueCountFrequency (%)
1 2
 
4.1%
3 1
 
2.0%
4 1
 
2.0%
7 2
 
4.1%
8 4
 
8.2%
9 3
 
6.1%
10 10
20.4%
12 3
 
6.1%
13 1
 
2.0%
14 1
 
2.0%
ValueCountFrequency (%)
106 1
 
2.0%
100 1
 
2.0%
43 1
 
2.0%
40 3
6.1%
38 1
 
2.0%
31 1
 
2.0%
30 2
4.1%
29 1
 
2.0%
27 1
 
2.0%
26 1
 
2.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size520.0 B
Minimum2024-02-08 00:00:00
Maximum2024-02-08 00:00:00
2024-03-14T18:32:31.689358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:32:31.848649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T18:32:22.447485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:32:21.873391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:32:22.582446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:32:22.299028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:32:31.972291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번등록일자상호소재지(지번)소재지(도로명)사이트수
연번1.0000.9691.0001.0001.0000.394
등록일자0.9691.0001.0001.0001.0000.962
상호1.0001.0001.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.0001.000
사이트수0.3940.9621.0001.0001.0001.000
2024-03-14T18:32:32.146094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사이트수
연번1.000-0.252
사이트수-0.2521.000

Missing values

2024-03-14T18:32:22.855879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:32:23.175129image/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

연번등록일자상호소재지(지번)소재지(도로명)사이트수데이터기준일자
012015-03-17캠프 고토일강원특별자치도 평창군 봉평면 흥정리 190-32강원특별자치도 평창군 봉평면 흥정계곡3길 60102024-02-08
122015-04-18흥정계곡 캠핑700강원특별자치도 평창군 봉평면 흥정리 372강원특별자치도 평창군 봉평면 흥정계곡4길 91402024-02-08
232015-04-27해마루 캠핑장강원특별자치도 평창군 봉평면 흥정리 179-1강원특별자치도 평창군 봉평면 흥정계곡2길 75232024-02-08
342015-05-06꿈의대화캠핑장강원특별자치도 평창군 대화면 대화리 1150-3강원특별자치도 평창군 대화면 해뜰마을길 49-7292024-02-08
452015-06-04국립두타산자연휴양림강원특별자치도 평창군 진부면 수항리 산 10강원특별자치도 평창군 진부면 아차골길 132252024-02-08
562015-06-04진부(오대산)관광농원강원특별자치도 평창군 진부면 수항리 384강원특별자치도 평창군 진부면 아차골길 34-15252024-02-08
672015-06-08쪽빛하늘 캠핑장강원특별자치도 평창군 봉평면 원길리 1066-17강원특별자치도 평창군 봉평면 흥정계곡길 20-5272024-02-08
782015-07-09청옥산깨비마을 야영장강원특별자치도 평창군 미탄면 회동리 619강원특별자치도 평창군 미탄면 수리재길 2172024-02-08
892015-07-23007 흥정계곡 반딧불 캠핑장강원특별자치도 평창군 봉평면 흥정리 93-12강원특별자치도 평창군 봉평면 흥정리 93-12202024-02-08
9102015-08-31에버힐 캠핑장강원특별자치도 평창군 봉평면 흥정리 81-12강원특별자치도 평창군 봉평면 흥정계곡4길 23382024-02-08
연번등록일자상호소재지(지번)소재지(도로명)사이트수데이터기준일자
39402023-05-01산마을 풍경강원특별자치도 평창군 봉평면 흥정리 83강원특별자치도 평창군 봉평면 흥정계곡4길 233-9192024-02-08
40412023-05-16평창 국민여가캠핑장강원특별자치도 평창군 방림면 방림리 1619강원특별자치도 평창군 방림면 뇌운계곡로 829432024-02-08
41422023-05-24코끼리마을강원특별자치도 평창군 미탄면 기화리 225강원특별자치도 평창군 미탄면 평창동강로 416-55402024-02-08
42432023-06-20솔비알 캠핑장강원특별자치도 평창군 봉평면 진조리 261-2강원특별자치도 평창군 봉평면 진조2길 281102024-02-08
43442023-06-30600마지기 가는길 야영장(야생화 고향마을)강원특별자치도 평창군 미탄면 회동리 500-8강원특별자치도 평창군 미탄면 청옥산길 24342024-02-08
44452023-08-09별빛사이강원특별자치도 평창군 용평면 백옥포리 99-3강원특별자치도 평창군 용평면 금당계곡로 219592024-02-08
45462023-08-11오대천 휴 캠핑클럽강원특별자치도 평창군 진부면 막동리 59-1강원특별자치도 평창군 진부면 오대천로 553122024-02-08
46472023-10-17바샘강원특별자치도 평창군 봉평면 무이리 56-27강원특별자치도 평창군 봉평면 봉평북로 324-2782024-02-08
47482024-01-30백룡야영장강원특별자치도 평창군 미탄면 마하리 101-2강원특별자치도 평창군 미탄면 문희길 21-3122024-02-08
48492017-07-25계방산 오토캠핑장강원특별자치도 평창군 용평면 노동리 86강원특별자치도 평창군 용평면 이승복생가길 160 (노동계곡캠핑장)1062024-02-08