Overview

Dataset statistics

Number of variables7
Number of observations481
Missing cells401
Missing cells (%)11.9%
Duplicate rows8
Duplicate rows (%)1.7%
Total size in memory27.4 KiB
Average record size in memory58.3 B

Variable types

Categorical2
Text3
Numeric2

Dataset

Description경기도 자연관광지 현황
Author경기관광공사
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=L5RHXY7EF3SH3A48TGK831147919&infSeq=1

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 8 (1.7%) duplicate rowsDuplicates
정제WGS84위도 is highly overall correlated with 시군명High correlation
정제WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 정제WGS84위도 and 1 other fieldsHigh correlation
전화번호 has 103 (21.4%) missing valuesMissing
정제WGS84위도 has 149 (31.0%) missing valuesMissing
정제WGS84경도 has 149 (31.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:53:21.362310
Analysis finished2023-12-10 21:53:22.335623
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
가평군
47 
양평군
46 
포천시
38 
파주시
31 
용인시
 
24
Other values (27)
295 

Length

Max length4
Median length3
Mean length3.0686071
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row파주시
2nd row평택시
3rd row김포시
4th row이천시
5th row안산시

Common Values

ValueCountFrequency (%)
가평군 47
 
9.8%
양평군 46
 
9.6%
포천시 38
 
7.9%
파주시 31
 
6.4%
용인시 24
 
5.0%
남양주시 21
 
4.4%
화성시 21
 
4.4%
이천시 21
 
4.4%
안성시 20
 
4.2%
양주시 18
 
3.7%
Other values (22) 194
40.3%

Length

2023-12-11T06:53:22.394821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가평군 47
 
9.8%
양평군 46
 
9.6%
포천시 38
 
7.9%
파주시 31
 
6.4%
용인시 24
 
5.0%
남양주시 21
 
4.4%
화성시 21
 
4.4%
이천시 21
 
4.4%
안성시 20
 
4.2%
양주시 18
 
3.7%
Other values (22) 194
40.3%

관광정보명
Text

Distinct443
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-11T06:53:22.629898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length5.5197505
Min length2

Characters and Unicode

Total characters2655
Distinct characters336
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique425 ?
Unique (%)88.4%

Sample

1st row임꺽정굴
2nd row서해대교
3rd row재두루미도래지
4th row노성산말머리바위
5th row구봉도낙조전망대
ValueCountFrequency (%)
중 8
 
1.4%
용인8경 8
 
1.4%
안양예술공원 6
 
1.1%
아침고요수목원 6
 
1.1%
포천 6
 
1.1%
허브아일랜드 6
 
1.1%
광주 5
 
0.9%
화담숲 5
 
0.9%
양평 5
 
0.9%
더그림 5
 
0.9%
Other values (465) 503
89.3%
2023-12-11T06:53:22.970286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 186
 
7.0%
원 130
 
4.9%
84
 
3.2%
수 76
 
2.9%
공 69
 
2.6%
지 63
 
2.4%
계 41
 
1.5%
양 39
 
1.5%
리 37
 
1.4%
곡 35
 
1.3%
Other values (326) 1895
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2519
94.9%
Space Separator 84
 
3.2%
Open Punctuation 18
 
0.7%
Close Punctuation 18
 
0.7%
Decimal Number 16
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 186
 
7.4%
원 130
 
5.2%
수 76
 
3.0%
공 69
 
2.7%
지 63
 
2.5%
계 41
 
1.6%
양 39
 
1.5%
리 37
 
1.5%
곡 35
 
1.4%
포 34
 
1.3%
Other values (315) 1809
71.8%
Decimal Number
ValueCountFrequency (%)
8 9
56.2%
3 1
 
6.2%
7 1
 
6.2%
4 1
 
6.2%
1 1
 
6.2%
5 1
 
6.2%
2 1
 
6.2%
6 1
 
6.2%
Space Separator
ValueCountFrequency (%)
84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2519
94.9%
Common 136
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 186
 
7.4%
원 130
 
5.2%
수 76
 
3.0%
공 69
 
2.7%
지 63
 
2.5%
계 41
 
1.6%
양 39
 
1.5%
리 37
 
1.5%
곡 35
 
1.4%
포 34
 
1.3%
Other values (315) 1809
71.8%
Common
ValueCountFrequency (%)
84
61.8%
( 18
 
13.2%
) 18
 
13.2%
8 9
 
6.6%
3 1
 
0.7%
7 1
 
0.7%
4 1
 
0.7%
1 1
 
0.7%
5 1
 
0.7%
2 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2519
94.9%
ASCII 136
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 186
 
7.4%
원 130
 
5.2%
수 76
 
3.0%
공 69
 
2.7%
지 63
 
2.5%
계 41
 
1.6%
양 39
 
1.5%
리 37
 
1.5%
곡 35
 
1.4%
포 34
 
1.3%
Other values (315) 1809
71.8%
ASCII
ValueCountFrequency (%)
84
61.8%
( 18
 
13.2%
) 18
 
13.2%
8 9
 
6.6%
3 1
 
0.7%
7 1
 
0.7%
4 1
 
0.7%
1 1
 
0.7%
5 1
 
0.7%
2 1
 
0.7%

소재주소
Text

Distinct432
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-11T06:53:23.216007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length18.490644
Min length10

Characters and Unicode

Total characters8894
Distinct characters260
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique406 ?
Unique (%)84.4%

Sample

1st row경기도 파주시 적성면 설마천로 감악산 임꺽정굴
2nd row경기도 평택시 포승읍 만호리 327-4
3rd row경기도 김포시 하성면 가금리 538
4th row경기도 이천시 설성면 진상미로 238-7 노성산
5th row경기도 안산시 단원구 구봉타운길 43
ValueCountFrequency (%)
경기도 481
 
21.9%
가평군 47
 
2.1%
양평군 46
 
2.1%
포천시 38
 
1.7%
파주시 31
 
1.4%
용인시 24
 
1.1%
이천시 21
 
1.0%
화성시 21
 
1.0%
남양주시 21
 
1.0%
안성시 20
 
0.9%
Other values (810) 1443
65.8%
2023-12-11T06:53:23.575608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1713
 
19.3%
도 506
 
5.7%
기 499
 
5.6%
경 486
 
5.5%
시 393
 
4.4%
면 246
 
2.8%
1 217
 
2.4%
로 181
 
2.0%
2 169
 
1.9%
동 147
 
1.7%
Other values (250) 4337
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5791
65.1%
Space Separator 1713
 
19.3%
Decimal Number 1255
 
14.1%
Dash Punctuation 132
 
1.5%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 506
 
8.7%
기 499
 
8.6%
경 486
 
8.4%
시 393
 
6.8%
면 246
 
4.2%
로 181
 
3.1%
동 147
 
2.5%
리 138
 
2.4%
양 137
 
2.4%
평 135
 
2.3%
Other values (235) 2923
50.5%
Decimal Number
ValueCountFrequency (%)
1 217
17.3%
2 169
13.5%
3 144
11.5%
4 137
10.9%
5 133
10.6%
7 97
7.7%
0 95
7.6%
9 93
7.4%
8 88
7.0%
6 82
 
6.5%
Other Punctuation
ValueCountFrequency (%)
· 1
33.3%
. 1
33.3%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
1713
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5791
65.1%
Common 3103
34.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 506
 
8.7%
기 499
 
8.6%
경 486
 
8.4%
시 393
 
6.8%
면 246
 
4.2%
로 181
 
3.1%
동 147
 
2.5%
리 138
 
2.4%
양 137
 
2.4%
평 135
 
2.3%
Other values (235) 2923
50.5%
Common
ValueCountFrequency (%)
1713
55.2%
1 217
 
7.0%
2 169
 
5.4%
3 144
 
4.6%
4 137
 
4.4%
5 133
 
4.3%
- 132
 
4.3%
7 97
 
3.1%
0 95
 
3.1%
9 93
 
3.0%
Other values (5) 173
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5791
65.1%
ASCII 3102
34.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1713
55.2%
1 217
 
7.0%
2 169
 
5.4%
3 144
 
4.6%
4 137
 
4.4%
5 133
 
4.3%
- 132
 
4.3%
7 97
 
3.1%
0 95
 
3.1%
9 93
 
3.0%
Other values (4) 172
 
5.5%
Hangul
ValueCountFrequency (%)
도 506
 
8.7%
기 499
 
8.6%
경 486
 
8.4%
시 393
 
6.8%
면 246
 
4.2%
로 181
 
3.1%
동 147
 
2.5%
리 138
 
2.4%
양 137
 
2.4%
평 135
 
2.3%
Other values (235) 2923
50.5%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

MISSING 

Distinct269
Distinct (%)71.2%
Missing103
Missing (%)21.4%
Memory size3.9 KiB
2023-12-11T06:53:23.777771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.126984
Min length11

Characters and Unicode

Total characters4584
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique213 ?
Unique (%)56.3%

Sample

1st row031-940-4612
2nd row031-1899-1720
3rd row031-924-5822
4th row031-770-1001
5th row031-8008-6769
ValueCountFrequency (%)
031-940-4612 14
 
3.7%
031-8045-2473 7
 
1.9%
031-957-2004 6
 
1.6%
031-1544-6703 6
 
1.6%
031-673-9771 5
 
1.3%
031-839-2061 5
 
1.3%
031-8026-6666 5
 
1.3%
070-4257-2210 5
 
1.3%
031-860-2250 4
 
1.1%
031-760-2468 3
 
0.8%
Other values (259) 318
84.1%
2023-12-11T06:53:24.126615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 756
16.5%
0 731
15.9%
3 662
14.4%
1 564
12.3%
2 331
7.2%
8 288
 
6.3%
7 282
 
6.2%
6 260
 
5.7%
4 254
 
5.5%
5 235
 
5.1%
Other values (2) 221
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3795
82.8%
Dash Punctuation 756
 
16.5%
Other Punctuation 33
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 731
19.3%
3 662
17.4%
1 564
14.9%
2 331
8.7%
8 288
 
7.6%
7 282
 
7.4%
6 260
 
6.9%
4 254
 
6.7%
5 235
 
6.2%
9 188
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 756
100.0%
Other Punctuation
ValueCountFrequency (%)
* 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4584
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 756
16.5%
0 731
15.9%
3 662
14.4%
1 564
12.3%
2 331
7.2%
8 288
 
6.3%
7 282
 
6.2%
6 260
 
5.7%
4 254
 
5.5%
5 235
 
5.1%
Other values (2) 221
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4584
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 756
16.5%
0 731
15.9%
3 662
14.4%
1 564
12.3%
2 331
7.2%
8 288
 
6.3%
7 282
 
6.2%
6 260
 
5.7%
4 254
 
5.5%
5 235
 
5.1%
Other values (2) 221
 
4.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2021-03-05
481 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-03-05
2nd row2021-03-05
3rd row2021-03-05
4th row2021-03-05
5th row2021-03-05

Common Values

ValueCountFrequency (%)
2021-03-05 481
100.0%

Length

2023-12-11T06:53:24.250644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:53:24.333326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-03-05 481
100.0%

정제WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct288
Distinct (%)86.7%
Missing149
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean37.54584
Minimum36.905756
Maximum38.236632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-11T06:53:24.432691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.905756
5-th percentile37.093479
Q137.340101
median37.529147
Q337.755079
95-th percentile38.034893
Maximum38.236632
Range1.3308763
Interquartile range (IQR)0.41497813

Descriptive statistics

Standard deviation0.28994955
Coefficient of variation (CV)0.0077225481
Kurtosis-0.75526532
Mean37.54584
Median Absolute Deviation (MAD)0.21480665
Skewness0.073810836
Sum12465.219
Variance0.084070743
MonotonicityNot monotonic
2023-12-11T06:53:24.567044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7439537969 6
 
1.2%
37.8013847295 6
 
1.2%
37.9659224212 6
 
1.2%
37.5291471499 5
 
1.0%
37.3407703838 5
 
1.0%
37.4190630619 5
 
1.0%
37.6549538763 4
 
0.8%
37.3162082714 3
 
0.6%
37.5929359062 3
 
0.6%
37.2649125317 2
 
0.4%
Other values (278) 287
59.7%
(Missing) 149
31.0%
ValueCountFrequency (%)
36.905756135 1
0.2%
36.9214457112 2
0.4%
36.9423835 1
0.2%
36.969040781 1
0.2%
37.0138222218 1
0.2%
37.0142720462 1
0.2%
37.0146889168 1
0.2%
37.0159853874 1
0.2%
37.0493906519 1
0.2%
37.0504814265 1
0.2%
ValueCountFrequency (%)
38.2366324826 1
0.2%
38.1799062664 1
0.2%
38.1162504886 2
0.4%
38.1062209726 1
0.2%
38.0952344989 1
0.2%
38.0923195714 1
0.2%
38.0879151503 1
0.2%
38.0797294619 1
0.2%
38.072257895 1
0.2%
38.0715638068 1
0.2%

정제WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct288
Distinct (%)86.7%
Missing149
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean127.12193
Minimum126.39261
Maximum127.75427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-11T06:53:24.698627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.39261
5-th percentile126.68142
Q1126.90693
median127.11773
Q3127.35273
95-th percentile127.56163
Maximum127.75427
Range1.3616599
Interquartile range (IQR)0.44579556

Descriptive statistics

Standard deviation0.28662993
Coefficient of variation (CV)0.0022547639
Kurtosis-0.91272204
Mean127.12193
Median Absolute Deviation (MAD)0.23480334
Skewness-0.024111197
Sum42204.48
Variance0.082156718
MonotonicityNot monotonic
2023-12-11T06:53:24.830284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3525341486 6
 
1.2%
126.8742192975 6
 
1.2%
127.1317087763 6
 
1.2%
127.4970686978 5
 
1.0%
127.2894273131 5
 
1.0%
126.9197712709 5
 
1.0%
126.7687601052 4
 
0.8%
127.2704678858 3
 
0.6%
127.4910626007 3
 
0.6%
127.0394437821 2
 
0.4%
Other values (278) 287
59.7%
(Missing) 149
31.0%
ValueCountFrequency (%)
126.3926108304 1
0.2%
126.5308936298 2
0.4%
126.5385140379 1
0.2%
126.5413847669 1
0.2%
126.5519194344 1
0.2%
126.5522087631 1
0.2%
126.6028870711 1
0.2%
126.6060565281 1
0.2%
126.6209082886 1
0.2%
126.6301183489 1
0.2%
ValueCountFrequency (%)
127.7542707352 1
0.2%
127.7086378671 1
0.2%
127.7031294466 1
0.2%
127.679776056 1
0.2%
127.6796652857 1
0.2%
127.6663831773 1
0.2%
127.659948866 1
0.2%
127.6393007564 1
0.2%
127.6330451198 1
0.2%
127.6166278022 1
0.2%

Interactions

2023-12-11T06:53:21.892022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:53:21.719019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:53:21.972862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:53:21.807961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:53:24.914867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명정제WGS84위도정제WGS84경도
시군명1.0000.9150.915
정제WGS84위도0.9151.0000.575
정제WGS84경도0.9150.5751.000
2023-12-11T06:53:24.992386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정제WGS84위도정제WGS84경도시군명
정제WGS84위도1.0000.0510.612
정제WGS84경도0.0511.0000.610
시군명0.6120.6101.000

Missing values

2023-12-11T06:53:22.080524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:53:22.177256image/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.
2023-12-11T06:53:22.274564image/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

시군명관광정보명소재주소전화번호데이터기준일자정제WGS84위도정제WGS84경도
0파주시임꺽정굴경기도 파주시 적성면 설마천로 감악산 임꺽정굴031-940-46122021-03-05<NA><NA>
1평택시서해대교경기도 평택시 포승읍 만호리 327-4<NA>2021-03-05<NA><NA>
2김포시재두루미도래지경기도 김포시 하성면 가금리 538<NA>2021-03-0537.739559126.602887
3이천시노성산말머리바위경기도 이천시 설성면 진상미로 238-7 노성산<NA>2021-03-05<NA><NA>
4안산시구봉도낙조전망대경기도 안산시 단원구 구봉타운길 43031-1899-17202021-03-0537.281067126.551919
5고양시노래하는분수대경기도 고양시 일산동구 호수로 595031-924-58222021-03-0537.654954126.76876
6양평군두물머리경기도 양평군 양서면 양수리 697031-770-10012021-03-0537.533621127.317477
7가평군잣향기푸른숲경기도 가평군 상면 축령로 289-146031-8008-67692021-03-0537.76921127.332796
8가평군청평호경기도 가평군 설악면 회곡리 454-3031-582-00882021-03-0537.707137127.454425
9안성시용설호수경기도 안성시 죽산면 용설호수길 234031-673-97712021-03-0537.050481127.442373
시군명관광정보명소재주소전화번호데이터기준일자정제WGS84위도정제WGS84경도
471남양주시피아노폭포경기도 남양주시 화도읍 폭포로 562031-590-82242021-03-0537.631557127.347047
472연천군열두개울경기도 연천군 청산면 청신로 345031-839-20612021-03-0537.988095127.093733
473양평군벽계구곡경기도 양평군 서종면 노문리031-770-31612021-03-05<NA><NA>
474양평군사나사계곡경기도 양평군 옥천면 용천리031-770-31322021-03-05<NA><NA>
475광주시남한산계곡경기도 광주시 중부면 광지원리031-760-26922021-03-05<NA><NA>
476양평군석산계곡경기도 양평군 단월면 석산리 230-5031-773-51012021-03-0537.63996127.602431
477양평군중원계곡경기도 양평군 용문면 중원리706031-770-10012021-03-0537.539771127.616628
478포천시포천아트밸리경기도 포천시 신북면 아트밸리로 234031-538-34832021-03-0537.923446127.236496
479이천시설봉산삼형제바위경기도 이천시 관고동 산66-1031-645-38392021-03-0537.280691127.414801
480포천시국망봉자연휴양림경기도 포천시 이동면 늠바위길 207-28031-532-00142021-03-0538.028922127.396266

Duplicate rows

Most frequently occurring

시군명관광정보명소재주소전화번호데이터기준일자정제WGS84위도정제WGS84경도# duplicates
0가평군가평 아침고요수목원경기도 가평군 상면 수목원로 432031-1544-67032021-03-0537.743954127.3525345
3광주시광주 화담숲경기도 광주시 도척면 도척윗로 278-1031-8026-66662021-03-0537.34077127.2894275
4안양시안양예술공원경기도 안양시 만안구 석수동 240-18031-8045-24732021-03-0537.419063126.9197715
5양평군양평 더그림경기도 양평군 옥천면 사나사길 175070-4257-22102021-03-0537.529147127.4970695
6파주시파주 벽초지수목원경기도 파주시 광탄면 부흥로 242031-957-20042021-03-0537.801385126.8742195
7포천시포천 허브아일랜드경기도 포천시 신북면 청신로947번길 35<NA>2021-03-0537.965922127.1317095
1가평군가평용추폭포경기도 가평군 가평읍 승안리031-582-00882021-03-05<NA><NA>2
2가평군잣향기푸른숲경기도 가평군 상면 축령로 289-146031-8008-67692021-03-0537.76921127.3327962