Overview

Dataset statistics

Number of variables15
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory125.1 B

Variable types

Text3
Categorical11
Numeric1

Dataset

Description강원도 강릉시의 등산로개방폐쇄구간에 대한 데이터로 산명, 소재지, 등산로노선번호, 등산로구간, 등산로거리, 개방여부, 입산통제시작일자, 입산통제종료일자, 관리기관명 등의 정보를 제공합니다.
Author강원도 강릉시
URLhttps://www.data.go.kr/data/15089022/fileData.do

Alerts

입산통제시작일자 has constant value ""Constant
입산통제종료일자 has constant value ""Constant
입산통제제외기간시작일자 has constant value ""Constant
입산통제제외기간종료일자 has constant value ""Constant
입산통제제외사유 has constant value ""Constant
관리기관명 has constant value ""Constant
전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
비고 is highly overall correlated with 개방여부High correlation
개방여부 is highly overall correlated with 비고High correlation
등산로구간 has unique valuesUnique

Reproduction

Analysis started2024-04-17 10:36:24.807935
Analysis finished2024-04-17 10:36:25.518341
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

산명(권역명)
Text

Distinct22
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-17T19:36:25.616944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length4.34375
Min length3

Characters and Unicode

Total characters139
Distinct characters49
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)56.2%

Sample

1st row짝바위
2nd row보리골
3rd row왕제산
4th row칠봉산
5th row칠봉산
ValueCountFrequency (%)
괘방산(안보등산로 5
15.6%
기마봉 4
 
12.5%
칠봉산 3
 
9.4%
운계봉 2
 
6.2%
원대재산림욕장 1
 
3.1%
짝바위 1
 
3.1%
원대재 1
 
3.1%
마차봉 1
 
3.1%
땅재봉 1
 
3.1%
시루봉 1
 
3.1%
Other values (12) 12
37.5%
2024-04-17T19:36:25.932631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 19
 
13.7%
봉 18
 
12.9%
방 6
 
4.3%
보 6
 
4.3%
로 6
 
4.3%
마 6
 
4.3%
괘 5
 
3.6%
( 5
 
3.6%
안 5
 
3.6%
등 5
 
3.6%
Other values (39) 58
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129
92.8%
Open Punctuation 5
 
3.6%
Close Punctuation 5
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 19
 
14.7%
봉 18
 
14.0%
방 6
 
4.7%
보 6
 
4.7%
로 6
 
4.7%
마 6
 
4.7%
괘 5
 
3.9%
안 5
 
3.9%
등 5
 
3.9%
기 5
 
3.9%
Other values (37) 48
37.2%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129
92.8%
Common 10
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 19
 
14.7%
봉 18
 
14.0%
방 6
 
4.7%
보 6
 
4.7%
로 6
 
4.7%
마 6
 
4.7%
괘 5
 
3.9%
안 5
 
3.9%
등 5
 
3.9%
기 5
 
3.9%
Other values (37) 48
37.2%
Common
ValueCountFrequency (%)
( 5
50.0%
) 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129
92.8%
ASCII 10
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 19
 
14.7%
봉 18
 
14.0%
방 6
 
4.7%
보 6
 
4.7%
로 6
 
4.7%
마 6
 
4.7%
괘 5
 
3.9%
안 5
 
3.9%
등 5
 
3.9%
기 5
 
3.9%
Other values (37) 48
37.2%
ASCII
ValueCountFrequency (%)
( 5
50.0%
) 5
50.0%

소재지
Text

Distinct17
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-17T19:36:26.088168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length10.03125
Min length7

Characters and Unicode

Total characters321
Distinct characters39
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)31.2%

Sample

1st row강릉시 주문진읍 장덕리
2nd row강릉시 주문진읍 교항리
3rd row강릉시 성산면 보광리
4th row강릉시 구정면 제비리
5th row강릉시 구정면 제비리
ValueCountFrequency (%)
강릉시 32
37.6%
옥계면 7
 
8.2%
강동면 6
 
7.1%
교동 4
 
4.7%
금진리 4
 
4.7%
경포동 4
 
4.7%
구정면 3
 
3.5%
제비리 3
 
3.5%
정동진리 3
 
3.5%
임곡리 2
 
2.4%
Other values (14) 17
20.0%
2024-04-17T19:36:26.350966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
19.9%
강 39
12.1%
시 32
10.0%
릉 32
10.0%
동 23
 
7.2%
리 21
 
6.5%
면 19
 
5.9%
진 9
 
2.8%
계 8
 
2.5%
옥 7
 
2.2%
Other values (29) 67
20.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
79.8%
Space Separator 64
 
19.9%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 39
15.2%
시 32
12.5%
릉 32
12.5%
동 23
 
9.0%
리 21
 
8.2%
면 19
 
7.4%
진 9
 
3.5%
계 8
 
3.1%
옥 7
 
2.7%
정 6
 
2.3%
Other values (27) 60
23.4%
Space Separator
ValueCountFrequency (%)
64
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 256
79.8%
Common 65
 
20.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 39
15.2%
시 32
12.5%
릉 32
12.5%
동 23
 
9.0%
리 21
 
8.2%
면 19
 
7.4%
진 9
 
3.5%
계 8
 
3.1%
옥 7
 
2.7%
정 6
 
2.3%
Other values (27) 60
23.4%
Common
ValueCountFrequency (%)
64
98.5%
2 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 256
79.8%
ASCII 65
 
20.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64
98.5%
2 1
 
1.5%
Hangul
ValueCountFrequency (%)
강 39
15.2%
시 32
12.5%
릉 32
12.5%
동 23
 
9.0%
리 21
 
8.2%
면 19
 
7.4%
진 9
 
3.5%
계 8
 
3.1%
옥 7
 
2.7%
정 6
 
2.3%
Other values (27) 60
23.4%

등산로노선번호
Categorical

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
1
22 
2
4 
3
 
2
1-1
 
2
1-2
 
1

Length

Max length3
Median length1
Mean length1.25
Min length1

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 22
68.8%
2 4
 
12.5%
3 2
 
6.2%
1-1 2
 
6.2%
1-2 1
 
3.1%
2-1 1
 
3.1%

Length

2024-04-17T19:36:26.475557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:36:26.590561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
68.8%
2 4
 
12.5%
3 2
 
6.2%
1-1 2
 
6.2%
1-2 1
 
3.1%
2-1 1
 
3.1%

등산로구간
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-17T19:36:26.777069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length16.15625
Min length7

Characters and Unicode

Total characters517
Distinct characters167
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row상근내마을-원당동마을정보센터
2nd row우신아파트-보리골정상-송라사입구
3rd row보광진입도로-용봉자동차학원
4th row남밭-칠봉산-버들고개
5th row산북리마을회관-칠봉산-구정휴게소
ValueCountFrequency (%)
전구간 7
 
13.0%
상근내마을-원당동마을정보센터 1
 
1.9%
등산로(관동중~부영6차 1
 
1.9%
노동리 1
 
1.9%
산불초소-석구낚시터-운계봉-용연사입구 1
 
1.9%
신왕마암터 1
 
1.9%
버스종점-신왕분기점 1
 
1.9%
화부산 1
 
1.9%
등산로 1
 
1.9%
교동 1
 
1.9%
Other values (38) 38
70.4%
2024-04-17T19:36:27.101293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 33
 
6.4%
22
 
4.3%
봉 20
 
3.9%
~ 17
 
3.3%
산 16
 
3.1%
마 13
 
2.5%
구 11
 
2.1%
리 11
 
2.1%
동 10
 
1.9%
기 8
 
1.5%
Other values (157) 356
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 424
82.0%
Dash Punctuation 33
 
6.4%
Space Separator 22
 
4.3%
Math Symbol 17
 
3.3%
Decimal Number 7
 
1.4%
Close Punctuation 6
 
1.2%
Open Punctuation 6
 
1.2%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 20
 
4.7%
산 16
 
3.8%
마 13
 
3.1%
구 11
 
2.6%
리 11
 
2.6%
동 10
 
2.4%
기 8
 
1.9%
간 8
 
1.9%
정 8
 
1.9%
을 8
 
1.9%
Other values (147) 311
73.3%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
3 2
28.6%
6 1
 
14.3%
5 1
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 424
82.0%
Common 91
 
17.6%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 20
 
4.7%
산 16
 
3.8%
마 13
 
3.1%
구 11
 
2.6%
리 11
 
2.6%
동 10
 
2.4%
기 8
 
1.9%
간 8
 
1.9%
정 8
 
1.9%
을 8
 
1.9%
Other values (147) 311
73.3%
Common
ValueCountFrequency (%)
- 33
36.3%
22
24.2%
~ 17
18.7%
) 6
 
6.6%
( 6
 
6.6%
1 3
 
3.3%
3 2
 
2.2%
6 1
 
1.1%
5 1
 
1.1%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 424
82.0%
ASCII 93
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 33
35.5%
22
23.7%
~ 17
18.3%
) 6
 
6.5%
( 6
 
6.5%
1 3
 
3.2%
3 2
 
2.2%
C 2
 
2.2%
6 1
 
1.1%
5 1
 
1.1%
Hangul
ValueCountFrequency (%)
봉 20
 
4.7%
산 16
 
3.8%
마 13
 
3.1%
구 11
 
2.6%
리 11
 
2.6%
동 10
 
2.4%
기 8
 
1.9%
간 8
 
1.9%
정 8
 
1.9%
을 8
 
1.9%
Other values (147) 311
73.3%

등산로거리(키로미터)
Real number (ℝ)

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.85625
Minimum1.1
Maximum11.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-17T19:36:27.219473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile1.355
Q11.775
median3.25
Q34.925
95-th percentile9.33
Maximum11.2
Range10.1
Interquartile range (IQR)3.15

Descriptive statistics

Standard deviation2.5309615
Coefficient of variation (CV)0.65632713
Kurtosis1.802458
Mean3.85625
Median Absolute Deviation (MAD)1.55
Skewness1.3919436
Sum123.4
Variance6.4057661
MonotonicityNot monotonic
2024-04-17T19:36:27.323417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1.6 4
 
12.5%
4.7 2
 
6.2%
2.7 2
 
6.2%
4.2 2
 
6.2%
10.1 1
 
3.1%
3.4 1
 
3.1%
3.6 1
 
3.1%
1.4 1
 
3.1%
5.5 1
 
3.1%
2.1 1
 
3.1%
Other values (16) 16
50.0%
ValueCountFrequency (%)
1.1 1
 
3.1%
1.3 1
 
3.1%
1.4 1
 
3.1%
1.6 4
12.5%
1.7 1
 
3.1%
1.8 1
 
3.1%
2.1 1
 
3.1%
2.2 1
 
3.1%
2.3 1
 
3.1%
2.7 2
6.2%
ValueCountFrequency (%)
11.2 1
3.1%
10.1 1
3.1%
8.7 1
3.1%
6.3 1
3.1%
6.0 1
3.1%
5.5 1
3.1%
5.4 1
3.1%
5.3 1
3.1%
4.8 1
3.1%
4.7 2
6.2%

개방여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
폐쇄
18 
개방
14 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개방
2nd row개방
3rd row폐쇄
4th row폐쇄
5th row폐쇄

Common Values

ValueCountFrequency (%)
폐쇄 18
56.2%
개방 14
43.8%

Length

2024-04-17T19:36:27.432275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:36:27.517467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐쇄 18
56.2%
개방 14
43.8%

비고
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
24 
입산통제구역
7 
피래산방향 폐쇄(국)
 
1

Length

Max length11
Median length4
Mean length4.65625
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row<NA>
2nd row<NA>
3rd row입산통제구역
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 24
75.0%
입산통제구역 7
 
21.9%
피래산방향 폐쇄(국) 1
 
3.1%

Length

2024-04-17T19:36:27.618943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:36:27.717038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
72.7%
입산통제구역 7
 
21.2%
피래산방향 1
 
3.0%
폐쇄(국 1
 
3.0%

입산통제시작일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2022-11-01
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-01
2nd row2022-11-01
3rd row2022-11-01
4th row2022-11-01
5th row2022-11-01

Common Values

ValueCountFrequency (%)
2022-11-01 32
100.0%

Length

2024-04-17T19:36:27.809350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:36:27.893241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-01 32
100.0%

입산통제종료일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-05-15
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-15
2nd row2023-05-15
3rd row2023-05-15
4th row2023-05-15
5th row2023-05-15

Common Values

ValueCountFrequency (%)
2023-05-15 32
100.0%

Length

2024-04-17T19:36:27.976199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:36:28.060130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-15 32
100.0%

입산통제제외기간시작일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2022-12-16
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-16
2nd row2022-12-16
3rd row2022-12-16
4th row2022-12-16
5th row2022-12-16

Common Values

ValueCountFrequency (%)
2022-12-16 32
100.0%

Length

2024-04-17T19:36:28.143198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:36:28.229449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-16 32
100.0%

입산통제제외기간종료일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-01-31
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-31
2nd row2023-01-31
3rd row2023-01-31
4th row2023-01-31
5th row2023-01-31

Common Values

ValueCountFrequency (%)
2023-01-31 32
100.0%

Length

2024-04-17T19:36:28.322326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:36:28.404587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-31 32
100.0%

입산통제제외사유
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
산불조심기간
32 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
산불조심기간 32
100.0%

Length

2024-04-17T19:36:28.495570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:36:28.584430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산불조심기간 32
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
강원도 강릉시청
32 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원도 강릉시청
2nd row강원도 강릉시청
3rd row강원도 강릉시청
4th row강원도 강릉시청
5th row강원도 강릉시청

Common Values

ValueCountFrequency (%)
강원도 강릉시청 32
100.0%

Length

2024-04-17T19:36:28.707643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:36:28.806556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 32
50.0%
강릉시청 32
50.0%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
033-640-5857
32 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-640-5857
2nd row033-640-5857
3rd row033-640-5857
4th row033-640-5857
5th row033-640-5857

Common Values

ValueCountFrequency (%)
033-640-5857 32
100.0%

Length

2024-04-17T19:36:28.909593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:36:28.991244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-640-5857 32
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2022-09-20
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-20
2nd row2022-09-20
3rd row2022-09-20
4th row2022-09-20
5th row2022-09-20

Common Values

ValueCountFrequency (%)
2022-09-20 32
100.0%

Length

2024-04-17T19:36:29.073002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:36:29.149483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-20 32
100.0%

Interactions

2024-04-17T19:36:25.161219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T19:36:29.206128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
산명(권역명)소재지등산로노선번호등산로구간등산로거리(키로미터)개방여부비고
산명(권역명)1.0000.9900.0001.0000.0000.7491.000
소재지0.9901.0000.0001.0000.6620.8691.000
등산로노선번호0.0000.0001.0001.0000.0000.4470.396
등산로구간1.0001.0001.0001.0001.0001.0001.000
등산로거리(키로미터)0.0000.6620.0001.0001.0000.2930.000
개방여부0.7490.8690.4471.0000.2931.000NaN
비고1.0001.0000.3961.0000.000NaN1.000
2024-04-17T19:36:29.322795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고개방여부등산로노선번호
비고1.0001.0000.218
개방여부1.0001.0000.292
등산로노선번호0.2180.2921.000
2024-04-17T19:36:29.704180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등산로거리(키로미터)등산로노선번호개방여부비고
등산로거리(키로미터)1.0000.0000.2410.000
등산로노선번호0.0001.0000.2920.218
개방여부0.2410.2921.0001.000
비고0.0000.2181.0001.000

Missing values

2024-04-17T19:36:25.267976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T19:36:25.443609image/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

산명(권역명)소재지등산로노선번호등산로구간등산로거리(키로미터)개방여부비고입산통제시작일자입산통제종료일자입산통제제외기간시작일자입산통제제외기간종료일자입산통제제외사유관리기관명전화번호데이터기준일자
0짝바위강릉시 주문진읍 장덕리1상근내마을-원당동마을정보센터4.7개방<NA>2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
1보리골강릉시 주문진읍 교항리1우신아파트-보리골정상-송라사입구5.3개방<NA>2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
2왕제산강릉시 성산면 보광리1보광진입도로-용봉자동차학원2.3폐쇄입산통제구역2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
3칠봉산강릉시 구정면 제비리1남밭-칠봉산-버들고개2.7폐쇄<NA>2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
4칠봉산강릉시 구정면 제비리2산북리마을회관-칠봉산-구정휴게소3.1폐쇄<NA>2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
5칠봉산강릉시 구정면 제비리3기타 지선 전구간4.2폐쇄<NA>2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
6괘방산(안보등산로)강릉시 강동면 정동진리1안인진 삼거리-당집-정동진역8.7개방<NA>2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
7괘방산(안보등산로)강릉시 강동면 정동진리1-1임해자연휴양림-삼우봉1.1개방<NA>2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
8괘방산(안보등산로)강릉시 강동면 정동진리1-2등명낙가사-괘일재1.8개방<NA>2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
9괘방산(안보등산로)강릉시 강동면 임곡리2임곡1리 밤나무정-청학산(임곡분기점)1.6폐쇄피래산방향 폐쇄(국)2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
산명(권역명)소재지등산로노선번호등산로구간등산로거리(키로미터)개방여부비고입산통제시작일자입산통제종료일자입산통제제외기간시작일자입산통제제외기간종료일자입산통제제외사유관리기관명전화번호데이터기준일자
22교동생태탐방로강릉시 교동1교동 생태탐방로(율곡초교~경포초교) 전구간1.6개방<NA>2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
23원대재강릉시 교동1원대재 등산로(관동중~부영6차) 전구간1.6개방<NA>2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
24원대재산림욕장강릉시 교동1원대재산림욕장(부영5차~영동초교) 전구간1.3개방<NA>2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
25춘갑봉강릉시 포남2동1춘갑봉 산책로(종합운동장~초당) 전구간4.8개방<NA>2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
26모산봉강릉시 강남동1한국폴리텍3대학~장현저수지~모산초교~모산봉4.2개방<NA>2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
27월대산강릉시 성덕동1월대산 산책로 전구간2.1개방<NA>2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
28시루봉강릉시 경포동1안고개마을~샌드파인CC~시루봉~경포대~해운정5.5개방<NA>2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
29땅재봉강릉시 경포동1당봉3교~땅재봉~느릅내삼거리1.4폐쇄입산통제구역2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
30마차봉강릉시 경포동1죽헌저수지~마차봉~송암3.6폐쇄입산통제구역2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20
31마명산강릉시 경포동1죽헌저수지~강릉대~강릉최씨 제실3.4폐쇄입산통제구역2022-11-012023-05-152022-12-162023-01-31산불조심기간강원도 강릉시청033-640-58572022-09-20