Overview

Dataset statistics

Number of variables17
Number of observations1165
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.0 KiB
Average record size in memory137.1 B

Variable types

Numeric1
Categorical10
Text4
Boolean2

Dataset

Description양평군 관내 등산로 및 시설물 데이터를 난이도, 좌표, 소요시간, 산 이름, 추천 여부, 거리, 주소 등의 항목으로 제공하는 서비스
Author경기도 양평군
URLhttps://www.data.go.kr/data/15097914/fileData.do

Alerts

코드 is highly overall correlated with 연번 and 9 other fieldsHigh correlation
등산로폐쇄여부 is highly overall correlated with 소재지 and 5 other fieldsHigh correlation
구간 거리 is highly overall correlated with 연번 and 10 other fieldsHigh correlation
하행시간(hhmm) is highly overall correlated with 연번 and 11 other fieldsHigh correlation
등산로통제여부 is highly overall correlated with 산명 and 5 other fieldsHigh correlation
등산로재질내용 is highly overall correlated with 소재지 and 3 other fieldsHigh correlation
종점 표고(위-경-고) is highly overall correlated with 연번 and 10 other fieldsHigh correlation
소재지 is highly overall correlated with 연번 and 11 other fieldsHigh correlation
산명 is highly overall correlated with 연번 and 9 other fieldsHigh correlation
상행시간(hhmm) is highly overall correlated with 연번 and 11 other fieldsHigh correlation
연번 is highly overall correlated with 산명 and 6 other fieldsHigh correlation
등산로추천여부 is highly overall correlated with 산명 and 6 other fieldsHigh correlation
난이도 is highly overall correlated with 산명 and 7 other fieldsHigh correlation
등산로추천여부 is highly imbalanced (98.2%)Imbalance
등산로재질내용 is highly imbalanced (90.6%)Imbalance
등산로폐쇄여부 is highly imbalanced (96.0%)Imbalance
등산로통제여부 is highly imbalanced (87.5%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:28:59.176877
Analysis finished2023-12-12 00:29:01.504291
Duration2.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean583
Minimum1
Maximum1165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2023-12-12T09:29:01.576396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59.2
Q1292
median583
Q3874
95-th percentile1106.8
Maximum1165
Range1164
Interquartile range (IQR)582

Descriptive statistics

Standard deviation336.45084
Coefficient of variation (CV)0.57710264
Kurtosis-1.2
Mean583
Median Absolute Deviation (MAD)291
Skewness0
Sum679195
Variance113199.17
MonotonicityStrictly increasing
2023-12-12T09:29:01.708932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
802 1
 
0.1%
782 1
 
0.1%
781 1
 
0.1%
780 1
 
0.1%
779 1
 
0.1%
778 1
 
0.1%
777 1
 
0.1%
776 1
 
0.1%
775 1
 
0.1%
Other values (1155) 1155
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1165 1
0.1%
1164 1
0.1%
1163 1
0.1%
1162 1
0.1%
1161 1
0.1%
1160 1
0.1%
1159 1
0.1%
1158 1
0.1%
1157 1
0.1%
1156 1
0.1%

산명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
용문산
167 
추읍산
122 
청계산
121 
중원산
120 
옥산
73 
Other values (17)
562 

Length

Max length4
Median length3
Mean length2.960515
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
용문산 167
14.3%
추읍산 122
10.5%
청계산 121
10.4%
중원산 120
10.3%
옥산 73
 
6.3%
통방산 68
 
5.8%
소리산 65
 
5.6%
중미산 62
 
5.3%
부용산 59
 
5.1%
양자산 53
 
4.5%
Other values (12) 255
21.9%

Length

2023-12-12T09:29:01.866468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용문산 167
14.3%
추읍산 122
10.5%
청계산 121
10.4%
중원산 120
10.3%
옥산 73
 
6.3%
통방산 68
 
5.8%
소리산 65
 
5.6%
중미산 62
 
5.3%
부용산 59
 
5.1%
양자산 53
 
4.5%
Other values (12) 255
21.9%

코드
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
418303101
167 
418303701
144 
418303501
122 
418303801
121 
418303001
73 
Other values (16)
538 

Length

Max length9
Median length9
Mean length8.9862661
Min length5

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row418303101
2nd row418303101
3rd row418303101
4th row418303101
5th row418303101

Common Values

ValueCountFrequency (%)
418303101 167
14.3%
418303701 144
12.4%
418303501 122
10.5%
418303801 121
10.4%
418303001 73
 
6.3%
418204101 68
 
5.8%
418302601 65
 
5.6%
418303601 62
 
5.3%
418302201 59
 
5.1%
418302701 53
 
4.5%
Other values (11) 231
19.8%

Length

2023-12-12T09:29:02.016819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
418303101 167
14.3%
418303701 144
12.4%
418303501 122
10.5%
418303801 121
10.4%
418303001 73
 
6.3%
418204101 68
 
5.8%
418302601 65
 
5.6%
418303601 62
 
5.3%
418302201 59
 
5.1%
418302701 53
 
4.5%
Other values (11) 231
19.8%

등산로 노선명
Text

Distinct58
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2023-12-12T09:29:02.269932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length12.666094
Min length6

Characters and Unicode

Total characters14756
Distinct characters154
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

Unique8 ?
Unique (%)0.7%

Sample

1st row용문산관광지주차장-용문사-마당바위-용문산정상
2nd row용문산관광지주차장-용문사-마당바위-용문산정상
3rd row용문산관광지주차장-용문사-마당바위-용문산정상
4th row용문산관광지주차장-용문사-마당바위-용문산정상
5th row용문산관광지주차장-용문사-마당바위-용문산정상
ValueCountFrequency (%)
상현마을-중원폭포-중원산 83
 
7.0%
용문산관광지주차장-용문사-암릉-석문-용문산 66
 
5.5%
용문산관광지주차장-용문사-마당바위-용문산정상 57
 
4.8%
국수역-청계리-청계산 51
 
4.3%
명달-삼태봉-통방산 46
 
3.9%
소리산소금강-수리바위-소리산 43
 
3.6%
양수역-약수터-하계산-부용산 39
 
3.3%
내동마을-추읍산 36
 
3.0%
사나사-함왕성-백운봉 35
 
2.9%
원덕역-추읍산 35
 
2.9%
Other values (49) 700
58.8%
2023-12-12T09:29:02.628175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2432
 
16.5%
산 1353
 
9.2%
문 551
 
3.7%
용 537
 
3.6%
원 327
 
2.2%
마 318
 
2.2%
중 289
 
2.0%
리 276
 
1.9%
계 273
 
1.9%
사 257
 
1.7%
Other values (144) 8143
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12142
82.3%
Dash Punctuation 2432
 
16.5%
Decimal Number 156
 
1.1%
Space Separator 26
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1353
 
11.1%
문 551
 
4.5%
용 537
 
4.4%
원 327
 
2.7%
마 318
 
2.6%
중 289
 
2.4%
리 276
 
2.3%
계 273
 
2.2%
사 257
 
2.1%
봉 252
 
2.1%
Other values (133) 7709
63.5%
Decimal Number
ValueCountFrequency (%)
6 54
34.6%
0 28
17.9%
5 23
14.7%
7 22
14.1%
4 15
 
9.6%
8 11
 
7.1%
3 1
 
0.6%
9 1
 
0.6%
1 1
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 2432
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12142
82.3%
Common 2614
 
17.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1353
 
11.1%
문 551
 
4.5%
용 537
 
4.4%
원 327
 
2.7%
마 318
 
2.6%
중 289
 
2.4%
리 276
 
2.3%
계 273
 
2.2%
사 257
 
2.1%
봉 252
 
2.1%
Other values (133) 7709
63.5%
Common
ValueCountFrequency (%)
- 2432
93.0%
6 54
 
2.1%
0 28
 
1.1%
26
 
1.0%
5 23
 
0.9%
7 22
 
0.8%
4 15
 
0.6%
8 11
 
0.4%
3 1
 
< 0.1%
9 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12142
82.3%
ASCII 2614
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2432
93.0%
6 54
 
2.1%
0 28
 
1.1%
26
 
1.0%
5 23
 
0.9%
7 22
 
0.8%
4 15
 
0.6%
8 11
 
0.4%
3 1
 
< 0.1%
9 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
산 1353
 
11.1%
문 551
 
4.5%
용 537
 
4.4%
원 327
 
2.7%
마 318
 
2.6%
중 289
 
2.4%
리 276
 
2.3%
계 273
 
2.2%
사 257
 
2.1%
봉 252
 
2.1%
Other values (133) 7709
63.5%

소재지
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
용문면 신점리
170 
용문면 중원리
129 
서종면 명달리
108 
옥천면 신복리
104 
옥천면 용천리
76 
Other values (25)
578 

Length

Max length7
Median length7
Mean length6.9622318
Min length6

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row용문면 신점리
2nd row용문면 신점리
3rd row용문면 신점리
4th row용문면 신점리
5th row용문면 신점리

Common Values

ValueCountFrequency (%)
용문면 신점리 170
14.6%
용문면 중원리 129
 
11.1%
서종면 명달리 108
 
9.3%
옥천면 신복리 104
 
8.9%
옥천면 용천리 76
 
6.5%
단월면 석산리 66
 
5.7%
양서면 국수리 51
 
4.4%
강하면 성덕리 39
 
3.3%
양서면 용담리 39
 
3.3%
개군면 내리 36
 
3.1%
Other values (20) 347
29.8%

Length

2023-12-12T09:29:02.772709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용문면 340
14.6%
옥천면 180
 
7.7%
신점리 170
 
7.3%
서종면 159
 
6.8%
양서면 152
 
6.5%
중원리 129
 
5.5%
명달리 108
 
4.6%
신복리 104
 
4.5%
단월면 81
 
3.5%
용천리 76
 
3.3%
Other values (34) 831
35.7%

등산로추천여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
추천
1163 
비추천
 
2

Length

Max length3
Median length2
Mean length2.0017167
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
추천 1163
99.8%
비추천 2
 
0.2%

Length

2023-12-12T09:29:02.877515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:29:02.983733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
추천 1163
99.8%
비추천 2
 
0.2%

등산로재질내용
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
토사.암반
1151 
토사.암반.포장도로
 
14

Length

Max length10
Median length5
Mean length5.0600858
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row토사.암반
2nd row토사.암반
3rd row토사.암반
4th row토사.암반
5th row토사.암반

Common Values

ValueCountFrequency (%)
토사.암반 1151
98.8%
토사.암반.포장도로 14
 
1.2%

Length

2023-12-12T09:29:03.087004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:29:03.197922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토사.암반 1151
98.8%
토사.암반.포장도로 14
 
1.2%

등산로폐쇄여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
False
1160 
True
 
5
ValueCountFrequency (%)
False 1160
99.6%
True 5
 
0.4%
2023-12-12T09:29:03.273690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등산로통제여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
False
1145 
True
 
20
ValueCountFrequency (%)
False 1145
98.3%
True 20
 
1.7%
2023-12-12T09:29:03.345219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

난이도
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
중간
661 
쉬움
312 
어려움
189 
폐쇄
 
3

Length

Max length3
Median length2
Mean length2.1622318
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중간 661
56.7%
쉬움 312
26.8%
어려움 189
 
16.2%
폐쇄 3
 
0.3%

Length

2023-12-12T09:29:03.443845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:29:03.534593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중간 661
56.7%
쉬움 312
26.8%
어려움 189
 
16.2%
폐쇄 3
 
0.3%

구간 거리
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
3
171 
2.2
129 
2.8
121 
4
114 
2.5
94 
Other values (19)
536 

Length

Max length4
Median length3
Mean length2.3090129
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 171
14.7%
2.2 129
11.1%
2.8 121
10.4%
4 114
9.8%
2.5 94
 
8.1%
2 71
 
6.1%
5 51
 
4.4%
1.2 47
 
4.0%
1.6 45
 
3.9%
1.5 44
 
3.8%
Other values (14) 278
23.9%

Length

2023-12-12T09:29:03.639377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3 171
14.7%
2.2 129
11.1%
2.8 121
10.4%
4 114
9.8%
2.5 94
 
8.1%
2 71
 
6.1%
5 51
 
4.4%
1.2 47
 
4.0%
1.6 45
 
3.9%
1.5 44
 
3.8%
Other values (14) 278
23.9%

상행시간(hhmm)
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
01:30
152 
02:00
136 
02:50
106 
02:30
98 
03:35
88 
Other values (22)
585 

Length

Max length5
Median length5
Mean length4.9871245
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03:35
2nd row03:35
3rd row03:35
4th row03:35
5th row03:35

Common Values

ValueCountFrequency (%)
01:30 152
13.0%
02:00 136
11.7%
02:50 106
 
9.1%
02:30 98
 
8.4%
03:35 88
 
7.6%
02:16 74
 
6.4%
03:31 68
 
5.8%
07:00 66
 
5.7%
03:30 52
 
4.5%
01:00 37
 
3.2%
Other values (17) 288
24.7%

Length

2023-12-12T09:29:03.761400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
01:30 152
12.9%
02:00 136
11.5%
02:50 106
 
9.0%
02:30 98
 
8.3%
03:35 88
 
7.5%
02:16 74
 
6.3%
03:31 68
 
5.8%
07:00 66
 
5.6%
03:30 52
 
4.4%
01:00 37
 
3.1%
Other values (18) 303
25.7%

하행시간(hhmm)
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
02:00
153 
01:30
123 
03:10
109 
01:40
105 
03:45
88 
Other values (24)
587 

Length

Max length5
Median length5
Mean length4.9871245
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row03:45
2nd row03:45
3rd row03:45
4th row03:45
5th row03:45

Common Values

ValueCountFrequency (%)
02:00 153
13.1%
01:30 123
10.6%
03:10 109
 
9.4%
01:40 105
 
9.0%
03:45 88
 
7.6%
02:03 68
 
5.8%
05:30 66
 
5.7%
01:00 61
 
5.2%
01:22 47
 
4.0%
01:15 43
 
3.7%
Other values (19) 302
25.9%

Length

2023-12-12T09:29:03.874714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:00 153
13.1%
01:30 123
10.6%
03:10 109
 
9.4%
01:40 105
 
9.0%
03:45 88
 
7.6%
02:03 68
 
5.8%
05:30 66
 
5.7%
01:00 61
 
5.2%
01:22 47
 
4.0%
01:15 43
 
3.7%
Other values (19) 302
25.9%

시점 표고(위-경-고)
Text

Distinct52
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2023-12-12T09:29:04.179064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length25.48927
Min length2

Characters and Unicode

Total characters29695
Distinct characters15
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

Unique2 ?
Unique (%)0.2%

Sample

1st row37.546338.127,582290, 173
2nd row37.546338.127,582290, 173
3rd row37.546338.127,582290, 173
4th row37.546338.127,582290, 173
5th row37.546338.127,582290, 173
ValueCountFrequency (%)
173 88
 
2.6%
37.548687 83
 
2.4%
127.620321 83
 
2.4%
190 83
 
2.4%
170 71
 
2.1%
37.32591 66
 
1.9%
303 66
 
1.9%
127.3414 66
 
1.9%
37.546338.127,582290 57
 
1.7%
37.448436 52
 
1.5%
Other values (134) 2700
79.1%
2023-12-12T09:29:04.619998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 3642
12.3%
2 3051
10.3%
3 2859
9.6%
1 2838
9.6%
, 2374
8.0%
5 2346
7.9%
. 2317
7.8%
2250
7.6%
4 2108
7.1%
6 1792
6.0%
Other values (5) 4118
13.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22744
76.6%
Other Punctuation 4691
 
15.8%
Space Separator 2250
 
7.6%
Other Letter 10
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 3642
16.0%
2 3051
13.4%
3 2859
12.6%
1 2838
12.5%
5 2346
10.3%
4 2108
9.3%
6 1792
7.9%
8 1488
6.5%
0 1423
 
6.3%
9 1197
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 2374
50.6%
. 2317
49.4%
Other Letter
ValueCountFrequency (%)
폐 5
50.0%
쇄 5
50.0%
Space Separator
ValueCountFrequency (%)
2250
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29685
> 99.9%
Hangul 10
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
7 3642
12.3%
2 3051
10.3%
3 2859
9.6%
1 2838
9.6%
, 2374
8.0%
5 2346
7.9%
. 2317
7.8%
2250
7.6%
4 2108
7.1%
6 1792
6.0%
Other values (3) 4108
13.8%
Hangul
ValueCountFrequency (%)
폐 5
50.0%
쇄 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29685
> 99.9%
Hangul 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 3642
12.3%
2 3051
10.3%
3 2859
9.6%
1 2838
9.6%
, 2374
8.0%
5 2346
7.9%
. 2317
7.8%
2250
7.6%
4 2108
7.1%
6 1792
6.0%
Other values (3) 4108
13.8%
Hangul
ValueCountFrequency (%)
폐 5
50.0%
쇄 5
50.0%

종점 표고(위-경-고)
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
37.553430, 127.403114, 655
121 
37.558689, 127.601789, 804
105 
37.561891, 127,549948, 1140
88 
37.33423, 127.32561, 1054
 
66
37.637817, 127.613504, 516
 
65
Other values (27)
720 

Length

Max length27
Median length26
Mean length25.87897
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row37.561891, 127,549948, 1140
2nd row37.561891, 127,549948, 1140
3rd row37.561891, 127,549948, 1140
4th row37.561891, 127,549948, 1140
5th row37.561891, 127,549948, 1140

Common Values

ValueCountFrequency (%)
37.553430, 127.403114, 655 121
 
10.4%
37.558689, 127.601789, 804 105
 
9.0%
37.561891, 127,549948, 1140 88
 
7.6%
37.33423, 127.32561, 1054 66
 
5.7%
37.637817, 127.613504, 516 65
 
5.6%
37.595419, 127.471627, 855 62
 
5.3%
37.540612, 127.365368, 385 59
 
5.1%
37.455496, 127.57365, 605 57
 
4.9%
37.437805, 127.426180, 710 53
 
4.5%
37.455487, 127.572148, 524 52
 
4.5%
Other values (22) 437
37.5%

Length

2023-12-12T09:29:04.760572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
37.553430 121
 
3.4%
655 121
 
3.4%
127.403114 121
 
3.4%
37.558689 105
 
3.0%
804 105
 
3.0%
127.601789 105
 
3.0%
37.561891 88
 
2.5%
127,549948 88
 
2.5%
1140 88
 
2.5%
710 68
 
1.9%
Other values (80) 2521
71.4%

시설물 사진
Text

Distinct1160
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2023-12-12T09:29:04.961451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length25.351073
Min length2

Characters and Unicode

Total characters29534
Distinct characters207
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

Unique1158 ?
Unique (%)99.4%

Sample

1st row용문산_용문산관광지주차장-용문사-마당바위-용문산정상_등산로입구
2nd row용문산_용문산관광지주차장-용문사-마당바위-용문산정상_표지판_001
3rd row용문산_용문산관광지주차장-용문사-마당바위-용문산정상_표지판_002
4th row용문산_용문산관광지주차장-용문사-마당바위-용문산정상_화장실_003
5th row용문산_용문산관광지주차장-용문사-마당바위-용문산정상_표지판_004
ValueCountFrequency (%)
어비산_갈현 26
 
2.0%
옥산_농다치-옥산_나무 10
 
0.8%
청계산_벚고개-송골고개-청계산_안내 8
 
0.6%
고래산_금동마을-고래산_로프 7
 
0.5%
고래산_배잔마을-고래산_로프 6
 
0.5%
폐쇄 5
 
0.4%
용문산_용문산관광지주차장-용문사-마당바위-용문산정상_나무 4
 
0.3%
옥산_한화리조트-선녀랑-노루목-옥산_나무 4
 
0.3%
계단_014 3
 
0.2%
봉미산_산음-생골-봉미산_나무 3
 
0.2%
Other values (1182) 1200
94.0%
2023-12-12T09:29:05.338117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 3469
 
11.7%
산 2507
 
8.5%
- 2408
 
8.2%
0 1697
 
5.7%
용 760
 
2.6%
문 716
 
2.4%
안 573
 
1.9%
계 492
 
1.7%
1 492
 
1.7%
중 472
 
1.6%
Other values (197) 15948
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19920
67.4%
Decimal Number 3625
 
12.3%
Connector Punctuation 3469
 
11.7%
Dash Punctuation 2408
 
8.2%
Space Separator 112
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 2507
 
12.6%
용 760
 
3.8%
문 716
 
3.6%
안 573
 
2.9%
계 492
 
2.5%
중 472
 
2.4%
지 460
 
2.3%
원 446
 
2.2%
표 394
 
2.0%
리 377
 
1.9%
Other values (184) 12723
63.9%
Decimal Number
ValueCountFrequency (%)
0 1697
46.8%
1 492
 
13.6%
2 320
 
8.8%
3 224
 
6.2%
4 190
 
5.2%
6 183
 
5.0%
5 170
 
4.7%
7 135
 
3.7%
8 116
 
3.2%
9 98
 
2.7%
Connector Punctuation
ValueCountFrequency (%)
_ 3469
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2408
100.0%
Space Separator
ValueCountFrequency (%)
112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19920
67.4%
Common 9614
32.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 2507
 
12.6%
용 760
 
3.8%
문 716
 
3.6%
안 573
 
2.9%
계 492
 
2.5%
중 472
 
2.4%
지 460
 
2.3%
원 446
 
2.2%
표 394
 
2.0%
리 377
 
1.9%
Other values (184) 12723
63.9%
Common
ValueCountFrequency (%)
_ 3469
36.1%
- 2408
25.0%
0 1697
17.7%
1 492
 
5.1%
2 320
 
3.3%
3 224
 
2.3%
4 190
 
2.0%
6 183
 
1.9%
5 170
 
1.8%
7 135
 
1.4%
Other values (3) 326
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19920
67.4%
ASCII 9614
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 3469
36.1%
- 2408
25.0%
0 1697
17.7%
1 492
 
5.1%
2 320
 
3.3%
3 224
 
2.3%
4 190
 
2.0%
6 183
 
1.9%
5 170
 
1.8%
7 135
 
1.4%
Other values (3) 326
 
3.4%
Hangul
ValueCountFrequency (%)
산 2507
 
12.6%
용 760
 
3.8%
문 716
 
3.6%
안 573
 
2.9%
계 492
 
2.5%
중 472
 
2.4%
지 460
 
2.3%
원 446
 
2.2%
표 394
 
2.0%
리 377
 
1.9%
Other values (184) 12723
63.9%

시설물 위치(위-경-고)
Text

Distinct1009
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2023-12-12T09:29:05.634138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length25.150215
Min length2

Characters and Unicode

Total characters29300
Distinct characters19
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

Unique905 ?
Unique (%)77.7%

Sample

1st row37.546338.127,52290,173
2nd row37.547222.127,579734,271
3rd row37.548567,127.573498,313
4th row37.548567,127.573498,314
5th row37.549398,127.571910,274
ValueCountFrequency (%)
709 12
 
0.4%
37.437836 10
 
0.4%
127.426169 10
 
0.4%
170 8
 
0.3%
474 8
 
0.3%
37.25329 7
 
0.3%
661 7
 
0.3%
247 7
 
0.3%
508 7
 
0.3%
127.393044 7
 
0.3%
Other values (2111) 2694
97.0%
2023-12-12T09:29:06.083207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 3844
13.1%
3 3066
10.5%
5 2842
9.7%
1 2709
9.2%
2 2569
8.8%
, 2320
7.9%
. 2317
7.9%
4 2162
7.4%
6 2026
6.9%
1697
5.8%
Other values (9) 3748
12.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22948
78.3%
Other Punctuation 4637
 
15.8%
Space Separator 1697
 
5.8%
Other Letter 18
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 3844
16.8%
3 3066
13.4%
5 2842
12.4%
1 2709
11.8%
2 2569
11.2%
4 2162
9.4%
6 2026
8.8%
0 1320
 
5.8%
8 1223
 
5.3%
9 1187
 
5.2%
Other Letter
ValueCountFrequency (%)
폐 5
27.8%
쇄 5
27.8%
수 2
 
11.1%
집 2
 
11.1%
불 2
 
11.1%
가 2
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 2320
50.0%
. 2317
50.0%
Space Separator
ValueCountFrequency (%)
1697
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29282
99.9%
Hangul 18
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
7 3844
13.1%
3 3066
10.5%
5 2842
9.7%
1 2709
9.3%
2 2569
8.8%
, 2320
7.9%
. 2317
7.9%
4 2162
7.4%
6 2026
6.9%
1697
5.8%
Other values (3) 3730
12.7%
Hangul
ValueCountFrequency (%)
폐 5
27.8%
쇄 5
27.8%
수 2
 
11.1%
집 2
 
11.1%
불 2
 
11.1%
가 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29282
99.9%
Hangul 18
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 3844
13.1%
3 3066
10.5%
5 2842
9.7%
1 2709
9.3%
2 2569
8.8%
, 2320
7.9%
. 2317
7.9%
4 2162
7.4%
6 2026
6.9%
1697
5.8%
Other values (3) 3730
12.7%
Hangul
ValueCountFrequency (%)
폐 5
27.8%
쇄 5
27.8%
수 2
 
11.1%
집 2
 
11.1%
불 2
 
11.1%
가 2
 
11.1%

Interactions

2023-12-12T09:29:01.097983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:29:06.181976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번산명코드등산로 노선명소재지등산로추천여부등산로재질내용등산로폐쇄여부등산로통제여부난이도구간 거리상행시간(hhmm)하행시간(hhmm)시점 표고(위-경-고)종점 표고(위-경-고)
연번1.0000.9740.9750.9960.9920.1150.4180.0770.4210.5950.9240.9630.9670.9950.987
산명0.9741.0001.0001.0000.9910.8430.6140.6060.9710.8200.9650.9840.9820.9990.999
코드0.9751.0001.0001.0000.9920.7740.5570.5490.9160.7860.9600.9820.9790.9990.999
등산로 노선명0.9961.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지0.9920.9910.9921.0001.0000.8891.0000.6330.9830.8960.9820.9780.9680.9990.990
등산로추천여부0.1150.8430.7741.0000.8891.0000.0000.6760.3570.0000.9340.7070.7090.7430.755
등산로재질내용0.4180.6140.5571.0001.0000.0001.0000.0000.0000.2641.0001.0001.0001.0000.603
등산로폐쇄여부0.0770.6060.5491.0000.6330.6760.0001.0000.6440.9370.9081.0001.0001.0001.000
등산로통제여부0.4210.9710.9161.0000.9830.3570.0000.6441.0000.5740.5461.0000.6451.0001.000
난이도0.5950.8200.7861.0000.8960.0000.2640.9370.5741.0000.9620.9200.9430.9960.975
구간 거리0.9240.9650.9601.0000.9820.9341.0000.9080.5460.9621.0000.9730.9800.9990.984
상행시간(hhmm)0.9630.9840.9821.0000.9780.7071.0001.0001.0000.9200.9731.0000.9931.0000.992
하행시간(hhmm)0.9670.9820.9791.0000.9680.7091.0001.0000.6450.9430.9800.9931.0001.0000.993
시점 표고(위-경-고)0.9950.9990.9991.0000.9990.7431.0001.0001.0000.9960.9991.0001.0001.0001.000
종점 표고(위-경-고)0.9870.9990.9991.0000.9900.7550.6031.0001.0000.9750.9840.9920.9931.0001.000
2023-12-12T09:29:06.329894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등산로추천여부코드등산로폐쇄여부구간 거리하행시간(hhmm)등산로통제여부등산로재질내용종점 표고(위-경-고)소재지산명상행시간(hhmm)난이도
등산로추천여부1.0000.6970.4720.8040.6130.2320.0000.6100.7470.6960.6140.000
코드0.6971.0000.4810.6770.7720.8630.4880.9720.8861.0000.7950.554
등산로폐쇄여부0.4720.4811.0000.7700.9880.4450.0000.9870.5040.4800.9890.773
구간 거리0.8040.6770.7701.0000.7580.4310.9900.7610.7570.6940.7110.769
하행시간(hhmm)0.6130.7720.9880.7581.0000.5530.9880.8540.6440.7840.8700.797
등산로통제여부0.2320.8630.4450.4310.5531.0000.0000.9870.8910.8630.9890.394
등산로재질내용0.0000.4880.0000.9900.9880.0001.0000.4780.9880.4870.9890.175
종점 표고(위-경-고)0.6100.9720.9870.7610.8540.9870.4781.0000.8090.9740.8470.813
소재지0.7470.8860.5040.7570.6440.8910.9880.8091.0000.8650.7200.695
산명0.6961.0000.4800.6940.7840.8630.4870.9740.8651.0000.8050.593
상행시간(hhmm)0.6140.7950.9890.7110.8700.9890.9890.8470.7200.8051.0000.751
난이도0.0000.5540.7730.7690.7970.3940.1750.8130.6950.5930.7511.000
2023-12-12T09:29:06.492320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번산명코드소재지등산로추천여부등산로재질내용등산로폐쇄여부등산로통제여부난이도구간 거리상행시간(hhmm)하행시간(hhmm)종점 표고(위-경-고)
연번1.0000.8530.8530.8490.0880.3200.0590.3220.3990.6720.7920.7950.898
산명0.8531.0001.0000.8650.6960.4870.4800.8630.5930.6940.8050.7840.974
코드0.8531.0001.0000.8860.6970.4880.4810.8630.5540.6770.7950.7720.972
소재지0.8490.8650.8861.0000.7470.9880.5040.8910.6950.7570.7200.6440.809
등산로추천여부0.0880.6960.6970.7471.0000.0000.4720.2320.0000.8040.6140.6130.610
등산로재질내용0.3200.4870.4880.9880.0001.0000.0000.0000.1750.9900.9890.9880.478
등산로폐쇄여부0.0590.4800.4810.5040.4720.0001.0000.4450.7730.7700.9890.9880.987
등산로통제여부0.3220.8630.8630.8910.2320.0000.4451.0000.3940.4310.9890.5530.987
난이도0.3990.5930.5540.6950.0000.1750.7730.3941.0000.7690.7510.7970.813
구간 거리0.6720.6940.6770.7570.8040.9900.7700.4310.7691.0000.7110.7580.761
상행시간(hhmm)0.7920.8050.7950.7200.6140.9890.9890.9890.7510.7111.0000.8700.847
하행시간(hhmm)0.7950.7840.7720.6440.6130.9880.9880.5530.7970.7580.8701.0000.854
종점 표고(위-경-고)0.8980.9740.9720.8090.6100.4780.9870.9870.8130.7610.8470.8541.000

Missing values

2023-12-12T09:29:01.231340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:29:01.424869image/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

연번산명코드등산로 노선명소재지등산로추천여부등산로재질내용등산로폐쇄여부등산로통제여부난이도구간 거리상행시간(hhmm)하행시간(hhmm)시점 표고(위-경-고)종점 표고(위-경-고)시설물 사진시설물 위치(위-경-고)
01용문산418303101용문산관광지주차장-용문사-마당바위-용문산정상용문면 신점리추천토사.암반NN어려움403:3503:4537.546338.127,582290, 17337.561891, 127,549948, 1140용문산_용문산관광지주차장-용문사-마당바위-용문산정상_등산로입구37.546338.127,52290,173
12용문산418303101용문산관광지주차장-용문사-마당바위-용문산정상용문면 신점리추천토사.암반NN어려움403:3503:4537.546338.127,582290, 17337.561891, 127,549948, 1140용문산_용문산관광지주차장-용문사-마당바위-용문산정상_표지판_00137.547222.127,579734,271
23용문산418303101용문산관광지주차장-용문사-마당바위-용문산정상용문면 신점리추천토사.암반NN어려움403:3503:4537.546338.127,582290, 17337.561891, 127,549948, 1140용문산_용문산관광지주차장-용문사-마당바위-용문산정상_표지판_00237.548567,127.573498,313
34용문산418303101용문산관광지주차장-용문사-마당바위-용문산정상용문면 신점리추천토사.암반NN어려움403:3503:4537.546338.127,582290, 17337.561891, 127,549948, 1140용문산_용문산관광지주차장-용문사-마당바위-용문산정상_화장실_00337.548567,127.573498,314
45용문산418303101용문산관광지주차장-용문사-마당바위-용문산정상용문면 신점리추천토사.암반NN어려움403:3503:4537.546338.127,582290, 17337.561891, 127,549948, 1140용문산_용문산관광지주차장-용문사-마당바위-용문산정상_표지판_00437.549398,127.571910,274
56용문산418303101용문산관광지주차장-용문사-마당바위-용문산정상용문면 신점리추천토사.암반NN어려움403:3503:4537.546338.127,582290, 17337.561891, 127,549948, 1140용문산_용문산관광지주차장-용문사-마당바위-용문산정상_안전로프_00537.549413,127.571945,286
67용문산418303101용문산관광지주차장-용문사-마당바위-용문산정상용문면 신점리추천토사.암반NN어려움403:3503:4537.546338.127,582290, 17337.561891, 127,549948, 1140용문산_용문산관광지주차장-용문사-마당바위-용문산정상_표지판_00637.553409,127.567940,375
78용문산418303101용문산관광지주차장-용문사-마당바위-용문산정상용문면 신점리추천토사.암반NN어려움403:3503:4537.546338.127,582290, 17337.561891, 127,549948, 1140용문산_용문산관광지주차장-용문사-마당바위-용문산정상_안전로프_00737.554569,127.566856,401
89용문산418303101용문산관광지주차장-용문사-마당바위-용문산정상용문면 신점리추천토사.암반NN어려움403:3503:4537.546338.127,582290, 17337.561891, 127,549948, 1140용문산_용문산관광지주차장-용문사-마당바위-용문산정상_표지판_00837.554713,127.566764,422
910용문산418303101용문산관광지주차장-용문사-마당바위-용문산정상용문면 신점리추천토사.암반NN어려움403:3503:4537.546338.127,582290, 17337.561891, 127,549948, 1140용문산_용문산관광지주차장-용문사-마당바위-용문산정상_표지판_00937.554678,127.566797,430
연번산명코드등산로 노선명소재지등산로추천여부등산로재질내용등산로폐쇄여부등산로통제여부난이도구간 거리상행시간(hhmm)하행시간(hhmm)시점 표고(위-경-고)종점 표고(위-경-고)시설물 사진시설물 위치(위-경-고)
11551156용문산418303101공원관리소-치유전망대양평읍 백안리추천토사.암반NN쉬움2.301:0004:4037.511136, 127.532676, 30037.511491, 127.529977, 430용문산_공원관리소-치유전망대_표지판_00337.511791,127.532545,342
11561157용문산418303101공원관리소-치유전망대양평읍 백안리추천토사.암반NN쉬움2.301:0004:4037.511136, 127.532676, 30037.511491, 127.529977, 430용문산_공원관리소-치유전망대_의자_00437.511873,127.532307,353
11571158용문산418303101공원관리소-치유전망대양평읍 백안리추천토사.암반NN쉬움2.301:0004:4037.511136, 127.532676, 30037.511491, 127.529977, 430용문산_공원관리소-치유전망대_표지판_00537.512631,127.530021,363
11581159용문산418303101공원관리소-치유전망대양평읍 백안리추천토사.암반NN쉬움2.301:0004:4037.511136, 127.532676, 30037.511491, 127.529977, 430용문산_공원관리소-치유전망대_밧줄_00637.512753,127.529899,374
11591160용문산418303101공원관리소-치유전망대양평읍 백안리추천토사.암반NN쉬움2.301:0004:4037.511136, 127.532676, 30037.511491, 127.529977, 430용문산_공원관리소-치유전망대_표지판_00737.512284,127.529617,400
11601161용문산418303101공원관리소-치유전망대양평읍 백안리추천토사.암반NN쉬움2.301:0004:4037.511136, 127.532676, 30037.511491, 127.529977, 430용문산_공원관리소-치유전망대_계단_00837.512278,127.529636,410
11611162용문산418303101공원관리소-치유전망대양평읍 백안리추천토사.암반NN쉬움2.301:0004:4037.511136, 127.532676, 30037.511491, 127.529977, 430용문산_공원관리소-치유전망대_의자_00937.511895,127.530014,415
11621163용문산418303101공원관리소-치유전망대양평읍 백안리추천토사.암반NN쉬움2.301:0004:4037.511136, 127.532676, 30037.511491, 127.529977, 430용문산_공원관리소-치유전망대_계단_01037.511902,127.529863,420
11631164용문산418303101공원관리소-치유전망대양평읍 백안리추천토사.암반NN쉬움2.301:0004:4037.511136, 127.532676, 30037.511491, 127.529977, 430용문산_공원관리소-치유전망대_의자_01137.511491,127.529977,430
11641165용문산418303101쉬자파크-백운암-상원사용문면 연수리비추천토사.암반YY중간폐쇄폐쇄폐쇄폐쇄폐쇄폐쇄폐쇄