Overview

Dataset statistics

Number of variables10
Number of observations83
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory82.6 B

Variable types

Numeric1
Text2
Categorical7

Dataset

Description국립공원 내 재해위험지구에 대한 데이터 입니다.국립공원 재난안전 스마트플랫폼을 통해 관리되는 재난안전자원(재해위험지구)에 대한 정보입니다.
Author국립공원공단
URLhttps://www.data.go.kr/data/15003441/fileData.do

Alerts

타입코드 has constant value ""Constant
타입명 has constant value ""Constant
사무소코드 is highly overall correlated with 고유번호 and 4 other fieldsHigh correlation
국립공원명 is highly overall correlated with 고유번호 and 4 other fieldsHigh correlation
사무소명 is highly overall correlated with 고유번호 and 4 other fieldsHigh correlation
국립공원코드 is highly overall correlated with 고유번호 and 4 other fieldsHigh correlation
고유번호 is highly overall correlated with 국립공원코드 and 3 other fieldsHigh correlation
위험유형 is highly overall correlated with 국립공원코드 and 3 other fieldsHigh correlation
고유번호 has unique valuesUnique
명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:36:08.849642
Analysis finished2023-12-12 05:36:09.772225
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct83
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42
Minimum1
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size879.0 B
2023-12-12T14:36:09.854822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.1
Q121.5
median42
Q362.5
95-th percentile78.9
Maximum83
Range82
Interquartile range (IQR)41

Descriptive statistics

Standard deviation24.103942
Coefficient of variation (CV)0.57390337
Kurtosis-1.2
Mean42
Median Absolute Deviation (MAD)21
Skewness0
Sum3486
Variance581
MonotonicityNot monotonic
2023-12-12T14:36:10.042582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
54 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
Other values (73) 73
88.0%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%

GIS위치
Text

Distinct82
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-12T14:36:10.315251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length36.807229
Min length22

Characters and Unicode

Total characters3055
Distinct characters19
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)97.6%

Sample

1st rowPOINT(127.642222222222 35.3261111111111)
2nd rowPOINT(127.707222222222 35.3247222222222)
3rd rowPOINT(127.680277777778 35.3638888888889)
4th rowPOINT(127.813055555556 35.3516666666667)
5th rowPOINT(127.730833333333 35.3363888888889)
ValueCountFrequency (%)
point(126.850277777778 2
 
1.2%
35.4658333333333 2
 
1.2%
point(128.465277777778 2
 
1.2%
38.1611111111111 2
 
1.2%
point(128.438611111111 2
 
1.2%
point(128.104444444444 1
 
0.6%
37.3719444444444 1
 
0.6%
point(128.056666666667 1
 
0.6%
37.3805555555556 1
 
0.6%
point(128.311388888889 1
 
0.6%
Other values (151) 151
91.0%
2023-12-12T14:36:10.726063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 310
10.1%
2 293
9.6%
3 291
9.5%
7 288
9.4%
8 286
9.4%
6 230
 
7.5%
4 208
 
6.8%
5 184
 
6.0%
. 166
 
5.4%
9 90
 
2.9%
Other values (9) 709
23.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2225
72.8%
Uppercase Letter 415
 
13.6%
Other Punctuation 166
 
5.4%
Open Punctuation 83
 
2.7%
Space Separator 83
 
2.7%
Close Punctuation 83
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 310
13.9%
2 293
13.2%
3 291
13.1%
7 288
12.9%
8 286
12.9%
6 230
10.3%
4 208
9.3%
5 184
8.3%
9 90
 
4.0%
0 45
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
O 83
20.0%
T 83
20.0%
N 83
20.0%
I 83
20.0%
P 83
20.0%
Other Punctuation
ValueCountFrequency (%)
. 166
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Space Separator
ValueCountFrequency (%)
83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2640
86.4%
Latin 415
 
13.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 310
11.7%
2 293
11.1%
3 291
11.0%
7 288
10.9%
8 286
10.8%
6 230
8.7%
4 208
7.9%
5 184
7.0%
. 166
6.3%
9 90
 
3.4%
Other values (4) 294
11.1%
Latin
ValueCountFrequency (%)
O 83
20.0%
T 83
20.0%
N 83
20.0%
I 83
20.0%
P 83
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3055
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 310
10.1%
2 293
9.6%
3 291
9.5%
7 288
9.4%
8 286
9.4%
6 230
 
7.5%
4 208
 
6.8%
5 184
 
6.0%
. 166
 
5.4%
9 90
 
2.9%
Other values (9) 709
23.2%

국립공원코드
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size796.0 B
L999M001S017
19 
L999M001S009
10 
L999M001S014
8 
L999M001S010
7 
L999M001S011
6 
Other values (12)
33 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st rowL999M001S017
2nd rowL999M001S017
3rd rowL999M001S017
4th rowL999M001S017
5th rowL999M001S017

Common Values

ValueCountFrequency (%)
L999M001S017 19
22.9%
L999M001S009 10
12.0%
L999M001S014 8
9.6%
L999M001S010 7
 
8.4%
L999M001S011 6
 
7.2%
L999M001S004 4
 
4.8%
L999M001S016 4
 
4.8%
L999M001S012 4
 
4.8%
L999M001S003 4
 
4.8%
L999M001S018 3
 
3.6%
Other values (7) 14
16.9%

Length

2023-12-12T14:36:10.894785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
l999m001s017 19
22.9%
l999m001s009 10
12.0%
l999m001s014 8
9.6%
l999m001s010 7
 
8.4%
l999m001s011 6
 
7.2%
l999m001s012 4
 
4.8%
l999m001s003 4
 
4.8%
l999m001s016 4
 
4.8%
l999m001s004 4
 
4.8%
l999m001s018 3
 
3.6%
Other values (7) 14
16.9%

국립공원명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size796.0 B
지리산국립공원
19 
북한산국립공원
10 
월악산국립공원
8 
설악산국립공원
7 
소백산국립공원
6 
Other values (12)
33 

Length

Max length8
Median length7
Mean length7.0120482
Min length6

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
지리산국립공원 19
22.9%
북한산국립공원 10
12.0%
월악산국립공원 8
9.6%
설악산국립공원 7
 
8.4%
소백산국립공원 6
 
7.2%
내장산국립공원 4
 
4.8%
주왕산국립공원 4
 
4.8%
속리산국립공원 4
 
4.8%
계룡산국립공원 4
 
4.8%
치악산국립공원 3
 
3.6%
Other values (7) 14
16.9%

Length

2023-12-12T14:36:11.061532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지리산국립공원 19
22.9%
북한산국립공원 10
12.0%
월악산국립공원 8
9.6%
설악산국립공원 7
 
8.4%
소백산국립공원 6
 
7.2%
속리산국립공원 4
 
4.8%
계룡산국립공원 4
 
4.8%
주왕산국립공원 4
 
4.8%
내장산국립공원 4
 
4.8%
치악산국립공원 3
 
3.6%
Other values (7) 14
16.9%

사무소코드
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Memory size796.0 B
L999M002S021
8 
L999M002S004
7 
L999M002S009
7 
L999M002S002
7 
L999M002S022
6 
Other values (18)
48 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique4 ?
Unique (%)4.8%

Sample

1st rowL999M002S002
2nd rowL999M002S002
3rd rowL999M002S002
4th rowL999M002S002
5th rowL999M002S002

Common Values

ValueCountFrequency (%)
L999M002S021 8
 
9.6%
L999M002S004 7
 
8.4%
L999M002S009 7
 
8.4%
L999M002S002 7
 
8.4%
L999M002S022 6
 
7.2%
L999M002S003 5
 
6.0%
L999M002S016 4
 
4.8%
L999M002S006 4
 
4.8%
L999M002S010 4
 
4.8%
L999M002S023 4
 
4.8%
Other values (13) 27
32.5%

Length

2023-12-12T14:36:11.200535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
l999m002s021 8
 
9.6%
l999m002s009 7
 
8.4%
l999m002s002 7
 
8.4%
l999m002s004 7
 
8.4%
l999m002s022 6
 
7.2%
l999m002s003 5
 
6.0%
l999m002s016 4
 
4.8%
l999m002s006 4
 
4.8%
l999m002s010 4
 
4.8%
l999m002s023 4
 
4.8%
Other values (13) 27
32.5%

사무소명
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Memory size796.0 B
월악산국립공원사무소
8 
지리산국립공원전남사무소
7 
설악산국립공원사무소
7 
지리산국립공원경남사무소
7 
북한산국립공원사무소
6 
Other values (18)
48 

Length

Max length12
Median length10
Mean length10.73494
Min length9

Unique

Unique4 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
월악산국립공원사무소 8
 
9.6%
지리산국립공원전남사무소 7
 
8.4%
설악산국립공원사무소 7
 
8.4%
지리산국립공원경남사무소 7
 
8.4%
북한산국립공원사무소 6
 
7.2%
지리산국립공원전북사무소 5
 
6.0%
주왕산국립공원사무소 4
 
4.8%
계룡산국립공원사무소 4
 
4.8%
속리산국립공원사무소 4
 
4.8%
북한산국립공원도봉사무소 4
 
4.8%
Other values (13) 27
32.5%

Length

2023-12-12T14:36:11.348599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월악산국립공원사무소 8
 
9.6%
설악산국립공원사무소 7
 
8.4%
지리산국립공원경남사무소 7
 
8.4%
지리산국립공원전남사무소 7
 
8.4%
북한산국립공원사무소 6
 
7.2%
지리산국립공원전북사무소 5
 
6.0%
주왕산국립공원사무소 4
 
4.8%
계룡산국립공원사무소 4
 
4.8%
속리산국립공원사무소 4
 
4.8%
북한산국립공원도봉사무소 4
 
4.8%
Other values (13) 27
32.5%

명칭
Text

UNIQUE 

Distinct83
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-12T14:36:11.566689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length9.6626506
Min length2

Characters and Unicode

Total characters802
Distinct characters190
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)100.0%

Sample

1st row벽소령~연하천삼거리
2nd row전망(꽁초)바위
3rd row백무동계곡
4th row노루목(구대원야영장)
5th row천왕샘일원
ValueCountFrequency (%)
구룡사~비로봉 2
 
2.3%
벽소령~연하천삼거리 1
 
1.1%
계곡길02-02하단 1
 
1.1%
영봉~하봉 1
 
1.1%
신륵사~신륵사삼거리 1
 
1.1%
생달리~황장산 1
 
1.1%
만수~만수봉 1
 
1.1%
마애불상단~960고지 1
 
1.1%
도락산~제봉 1
 
1.1%
세렴폭포500m상단 1
 
1.1%
Other values (77) 77
87.5%
2023-12-12T14:36:11.915159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
~ 65
 
8.1%
봉 28
 
3.5%
사 19
 
2.4%
곡 17
 
2.1%
원 17
 
2.1%
계 17
 
2.1%
지 16
 
2.0%
리 15
 
1.9%
구 14
 
1.7%
장 13
 
1.6%
Other values (180) 581
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 657
81.9%
Math Symbol 65
 
8.1%
Decimal Number 37
 
4.6%
Open Punctuation 11
 
1.4%
Close Punctuation 11
 
1.4%
Dash Punctuation 7
 
0.9%
Space Separator 5
 
0.6%
Lowercase Letter 5
 
0.6%
Other Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 28
 
4.3%
사 19
 
2.9%
곡 17
 
2.6%
원 17
 
2.6%
계 17
 
2.6%
지 16
 
2.4%
리 15
 
2.3%
구 14
 
2.1%
장 13
 
2.0%
동 12
 
1.8%
Other values (163) 489
74.4%
Decimal Number
ValueCountFrequency (%)
0 13
35.1%
2 6
16.2%
1 6
16.2%
5 4
 
10.8%
3 3
 
8.1%
6 2
 
5.4%
4 2
 
5.4%
9 1
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
m 3
60.0%
k 2
40.0%
Math Symbol
ValueCountFrequency (%)
~ 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 657
81.9%
Common 138
 
17.2%
Latin 7
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 28
 
4.3%
사 19
 
2.9%
곡 17
 
2.6%
원 17
 
2.6%
계 17
 
2.6%
지 16
 
2.4%
리 15
 
2.3%
구 14
 
2.1%
장 13
 
2.0%
동 12
 
1.8%
Other values (163) 489
74.4%
Common
ValueCountFrequency (%)
~ 65
47.1%
0 13
 
9.4%
( 11
 
8.0%
) 11
 
8.0%
- 7
 
5.1%
2 6
 
4.3%
1 6
 
4.3%
5
 
3.6%
5 4
 
2.9%
3 3
 
2.2%
Other values (4) 7
 
5.1%
Latin
ValueCountFrequency (%)
m 3
42.9%
k 2
28.6%
T 2
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 657
81.9%
ASCII 145
 
18.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
~ 65
44.8%
0 13
 
9.0%
( 11
 
7.6%
) 11
 
7.6%
- 7
 
4.8%
2 6
 
4.1%
1 6
 
4.1%
5
 
3.4%
5 4
 
2.8%
m 3
 
2.1%
Other values (7) 14
 
9.7%
Hangul
ValueCountFrequency (%)
봉 28
 
4.3%
사 19
 
2.9%
곡 17
 
2.6%
원 17
 
2.6%
계 17
 
2.6%
지 16
 
2.4%
리 15
 
2.3%
구 14
 
2.1%
장 13
 
2.0%
동 12
 
1.8%
Other values (163) 489
74.4%

타입코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size796.0 B
CMN
83 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
CMN 83
100.0%

Length

2023-12-12T14:36:12.067249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:36:12.151567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
cmn 83
100.0%

타입명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size796.0 B
일반자원
83 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반자원 83
100.0%

Length

2023-12-12T14:36:12.243142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:36:12.370471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반자원 83
100.0%

위험유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size796.0 B
고립
53 
유실
20 
침수
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고립 53
63.9%
유실 20
 
24.1%
침수 10
 
12.0%

Length

2023-12-12T14:36:12.459686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:36:12.584819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고립 53
63.9%
유실 20
 
24.1%
침수 10
 
12.0%

Interactions

2023-12-12T14:36:09.405542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:36:12.661768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호GIS위치국립공원코드국립공원명사무소코드사무소명명칭위험유형
고유번호1.0001.0000.9580.9580.9750.9751.0000.608
GIS위치1.0001.0001.0001.0001.0001.0001.0001.000
국립공원코드0.9581.0001.0001.0001.0001.0001.0000.763
국립공원명0.9581.0001.0001.0001.0001.0001.0000.763
사무소코드0.9751.0001.0001.0001.0001.0001.0000.877
사무소명0.9751.0001.0001.0001.0001.0001.0000.877
명칭1.0001.0001.0001.0001.0001.0001.0001.000
위험유형0.6081.0000.7630.7630.8770.8771.0001.000
2023-12-12T14:36:12.786237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사무소코드국립공원명위험유형사무소명국립공원코드
사무소코드1.0000.9530.6251.0000.953
국립공원명0.9531.0000.5270.9531.000
위험유형0.6250.5271.0000.6250.527
사무소명1.0000.9530.6251.0000.953
국립공원코드0.9531.0000.5270.9531.000
2023-12-12T14:36:12.892791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호국립공원코드국립공원명사무소코드사무소명위험유형
고유번호1.0000.7720.7720.7800.7800.431
국립공원코드0.7721.0001.0000.9530.9530.527
국립공원명0.7721.0001.0000.9530.9530.527
사무소코드0.7800.9530.9531.0001.0000.625
사무소명0.7800.9530.9531.0001.0000.625
위험유형0.4310.5270.5270.6250.6251.000

Missing values

2023-12-12T14:36:09.530939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:36:09.696626image/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

고유번호GIS위치국립공원코드국립공원명사무소코드사무소명명칭타입코드타입명위험유형
01POINT(127.642222222222 35.3261111111111)L999M001S017지리산국립공원L999M002S002지리산국립공원경남사무소벽소령~연하천삼거리CMN일반자원고립
12POINT(127.707222222222 35.3247222222222)L999M001S017지리산국립공원L999M002S002지리산국립공원경남사무소전망(꽁초)바위CMN일반자원고립
23POINT(127.680277777778 35.3638888888889)L999M001S017지리산국립공원L999M002S002지리산국립공원경남사무소백무동계곡CMN일반자원고립
34POINT(127.813055555556 35.3516666666667)L999M001S017지리산국립공원L999M002S002지리산국립공원경남사무소노루목(구대원야영장)CMN일반자원고립
45POINT(127.730833333333 35.3363888888889)L999M001S017지리산국립공원L999M002S002지리산국립공원경남사무소천왕샘일원CMN일반자원고립
56POINT(127.691944444444 35.3788888888889)L999M001S017지리산국립공원L999M002S002지리산국립공원경남사무소칠선계곡CMN일반자원고립
67POINT(127.659722222222 35.2855555555556)L999M001S017지리산국립공원L999M002S002지리산국립공원경남사무소의신~세석(02-03지점)CMN일반자원고립
78POINT(127.5891 35.3829)L999M001S017지리산국립공원L999M002S003지리산국립공원전북사무소부운마을계곡~달궁마을CMN일반자원침수
89POINT(127.5834 35.365)L999M001S017지리산국립공원L999M002S003지리산국립공원전북사무소무장애탐방로끝~석실CMN일반자원침수
910POINT(127.642777777778 35.3258333333333)L999M001S017지리산국립공원L999M002S003지리산국립공원전북사무소구룡4곡~5곡CMN일반자원침수
고유번호GIS위치국립공원코드국립공원명사무소코드사무소명명칭타입코드타입명위험유형
7374POINT(127.034722222222 37.7061111111111)L999M001S009북한산국립공원L999M002S023북한산국립공원도봉사무소원도봉계곡CMN일반자원고립
7478POINT(128.423333333333 36.9627777777778)L999M001S011소백산국립공원L999M002S025소백산국립공원북부사무소천동계곡CMN일반자원고립
7579POINT(128.511388888889 37.0430555555556)L999M001S011소백산국립공원L999M002S025소백산국립공원북부사무소남천야영장CMN일반자원고립
7680POINT(128.539166666667 36.9872222222222)L999M001S011소백산국립공원L999M002S025소백산국립공원북부사무소을전계곡CMN일반자원고립
7781POINT(126.499166666667 35.6547222222222)L999M001S008변산반도국립공원L999M002S027변산반도국립공원사무소하섬CMN일반자원고립
7882POINT(127.633333333333 35.2)L999M001S007무등산국립공원L999M002S028무등산국립공원사무소중머리재~제2수원지CMN일반자원고립
7983POINT(126.991944444444 35.1036111111111)L999M001S007무등산국립공원L999M002S029무등산국립공원동부사무소수만리~중머리재구간CMN일반자원고립
8077POINT(128.52087758877326 36.9469668986107)L999M001S011소백산국립공원L999M002S024소백산국립공원사무소죽계계곡자락길CMN일반자원고립
8176POINT(128.49002866173885 36.9338239780335)L999M001S011소백산국립공원L999M002S024소백산국립공원사무소삼가야영장~달밭골CMN일반자원고립
8275POINT(128.45801909221842 36.918254763819355)L999M001S011소백산국립공원L999M002S024소백산국립공원사무소희방자연관찰로~희방사CMN일반자원고립