Overview

Dataset statistics

Number of variables7
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory59.6 B

Variable types

Numeric1
Categorical1
Text5

Alerts

순서 is highly overall correlated with 길명High correlation
길명 is highly overall correlated with 순서High correlation
순서 has unique valuesUnique
코스 has unique valuesUnique

Reproduction

Analysis started2024-03-14 03:03:25.890424
Analysis finished2024-03-14 03:03:26.579020
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순서
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-03-14T12:03:26.648853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2024-03-14T12:03:26.828037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 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%
36 1
 
2.0%
Other values (41) 41
80.4%
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 (%)
51 1
2.0%
50 1
2.0%
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%

길명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
마음이 머무는길
30 
아름다운 순례길
9 
모악산 마실길
7 
예향천리 배두대간 마실길
 
3
서해안 해변 마실길
 
2

Length

Max length13
Median length8
Mean length8.2352941
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아름다운 순례길
2nd row아름다운 순례길
3rd row아름다운 순례길
4th row아름다운 순례길
5th row아름다운 순례길

Common Values

ValueCountFrequency (%)
마음이 머무는길 30
58.8%
아름다운 순례길 9
 
17.6%
모악산 마실길 7
 
13.7%
예향천리 배두대간 마실길 3
 
5.9%
서해안 해변 마실길 2
 
3.9%

Length

2024-03-14T12:03:26.955431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:03:27.039136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마음이 30
28.0%
머무는길 30
28.0%
마실길 12
 
11.2%
아름다운 9
 
8.4%
순례길 9
 
8.4%
모악산 7
 
6.5%
예향천리 3
 
2.8%
배두대간 3
 
2.8%
서해안 2
 
1.9%
해변 2
 
1.9%

주소
Text

Distinct45
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-03-14T12:03:27.289696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length15.980392
Min length13

Characters and Unicode

Total characters815
Distinct characters121
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

Unique39 ?
Unique (%)76.5%

Sample

1st row전주시 완산구 태조로 6
2nd row완주군 소양면 송광수만로 255-16
3rd row완주군 비봉면 천호성지길 124
4th row익산시 망성면 나바위길 77-4
5th row익산시 금마면 미륵사지로 362
ValueCountFrequency (%)
완주군 9
 
4.4%
김제시 6
 
2.9%
진안군 5
 
2.5%
금산면 4
 
2.0%
고창군 4
 
2.0%
순창군 4
 
2.0%
구이면 4
 
2.0%
익산시 4
 
2.0%
부안군 3
 
1.5%
백운면 3
 
1.5%
Other values (120) 158
77.5%
2024-03-14T12:03:27.678943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162
 
19.9%
면 43
 
5.3%
군 34
 
4.2%
길 31
 
3.8%
1 28
 
3.4%
시 21
 
2.6%
산 20
 
2.5%
로 20
 
2.5%
4 19
 
2.3%
7 18
 
2.2%
Other values (111) 419
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 490
60.1%
Space Separator 162
 
19.9%
Decimal Number 147
 
18.0%
Dash Punctuation 16
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 43
 
8.8%
군 34
 
6.9%
길 31
 
6.3%
시 21
 
4.3%
산 20
 
4.1%
로 20
 
4.1%
주 16
 
3.3%
금 12
 
2.4%
완 12
 
2.4%
안 11
 
2.2%
Other values (99) 270
55.1%
Decimal Number
ValueCountFrequency (%)
1 28
19.0%
4 19
12.9%
7 18
12.2%
5 18
12.2%
3 13
8.8%
2 13
8.8%
9 12
8.2%
6 12
8.2%
0 8
 
5.4%
8 6
 
4.1%
Space Separator
ValueCountFrequency (%)
162
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 490
60.1%
Common 325
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 43
 
8.8%
군 34
 
6.9%
길 31
 
6.3%
시 21
 
4.3%
산 20
 
4.1%
로 20
 
4.1%
주 16
 
3.3%
금 12
 
2.4%
완 12
 
2.4%
안 11
 
2.2%
Other values (99) 270
55.1%
Common
ValueCountFrequency (%)
162
49.8%
1 28
 
8.6%
4 19
 
5.8%
7 18
 
5.5%
5 18
 
5.5%
- 16
 
4.9%
3 13
 
4.0%
2 13
 
4.0%
9 12
 
3.7%
6 12
 
3.7%
Other values (2) 14
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 490
60.1%
ASCII 325
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
162
49.8%
1 28
 
8.6%
4 19
 
5.8%
7 18
 
5.5%
5 18
 
5.5%
- 16
 
4.9%
3 13
 
4.0%
2 13
 
4.0%
9 12
 
3.7%
6 12
 
3.7%
Other values (2) 14
 
4.3%
Hangul
ValueCountFrequency (%)
면 43
 
8.8%
군 34
 
6.9%
길 31
 
6.3%
시 21
 
4.3%
산 20
 
4.1%
로 20
 
4.1%
주 16
 
3.3%
금 12
 
2.4%
완 12
 
2.4%
안 11
 
2.2%
Other values (99) 270
55.1%

시점위치
Text

Distinct47
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-03-14T12:03:27.885265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.254902
Min length2

Characters and Unicode

Total characters268
Distinct characters121
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

Unique43 ?
Unique (%)84.3%

Sample

1st row전주한옥마을
2nd row송광사
3rd row완주 천호
4th row나바위
5th row익산 미륵사지
ValueCountFrequency (%)
도립미술관 2
 
3.3%
금구면사무소 2
 
3.3%
강경마을 2
 
3.3%
영모정 2
 
3.3%
산림경영모델숲 1
 
1.7%
신시도마을 1
 
1.7%
숭림사 1
 
1.7%
비응항 1
 
1.7%
중평마을 1
 
1.7%
전주한옥마을 1
 
1.7%
Other values (46) 46
76.7%
2024-03-14T12:03:28.222459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 12
 
4.5%
을 12
 
4.5%
9
 
3.4%
주 8
 
3.0%
사 7
 
2.6%
산 6
 
2.2%
구 6
 
2.2%
) 6
 
2.2%
면 6
 
2.2%
( 6
 
2.2%
Other values (111) 190
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 247
92.2%
Space Separator 9
 
3.4%
Close Punctuation 6
 
2.2%
Open Punctuation 6
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 12
 
4.9%
을 12
 
4.9%
주 8
 
3.2%
사 7
 
2.8%
산 6
 
2.4%
구 6
 
2.4%
면 6
 
2.4%
장 5
 
2.0%
천 5
 
2.0%
도 5
 
2.0%
Other values (108) 175
70.9%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 247
92.2%
Common 21
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 12
 
4.9%
을 12
 
4.9%
주 8
 
3.2%
사 7
 
2.8%
산 6
 
2.4%
구 6
 
2.4%
면 6
 
2.4%
장 5
 
2.0%
천 5
 
2.0%
도 5
 
2.0%
Other values (108) 175
70.9%
Common
ValueCountFrequency (%)
9
42.9%
) 6
28.6%
( 6
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 247
92.2%
ASCII 21
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 12
 
4.9%
을 12
 
4.9%
주 8
 
3.2%
사 7
 
2.8%
산 6
 
2.4%
구 6
 
2.4%
면 6
 
2.4%
장 5
 
2.0%
천 5
 
2.0%
도 5
 
2.0%
Other values (108) 175
70.9%
ASCII
ValueCountFrequency (%)
9
42.9%
) 6
28.6%
( 6
28.6%

명칭
Text

Distinct47
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-03-14T12:03:28.417622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.0980392
Min length2

Characters and Unicode

Total characters260
Distinct characters100
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

Unique44 ?
Unique (%)86.3%

Sample

1st row한옥마을
2nd row송광사
3rd row천호
4th row나바위
5th row미륵사지
ValueCountFrequency (%)
완주군 3
 
4.2%
구간 3
 
4.2%
한옥마을 2
 
2.8%
금구 2
 
2.8%
김제시 2
 
2.8%
고종시 2
 
2.8%
마실길1 2
 
2.8%
마실길2 2
 
2.8%
신시도 2
 
2.8%
둘레길 2
 
2.8%
Other values (48) 49
69.0%
2024-03-14T12:03:28.751581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
길 26
 
10.0%
20
 
7.7%
마 10
 
3.8%
군 8
 
3.1%
주 8
 
3.1%
시 8
 
3.1%
구 7
 
2.7%
실 6
 
2.3%
고 5
 
1.9%
금 5
 
1.9%
Other values (90) 157
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 228
87.7%
Space Separator 20
 
7.7%
Decimal Number 8
 
3.1%
Math Symbol 3
 
1.2%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 26
 
11.4%
마 10
 
4.4%
군 8
 
3.5%
주 8
 
3.5%
시 8
 
3.5%
구 7
 
3.1%
실 6
 
2.6%
고 5
 
2.2%
금 5
 
2.2%
천 5
 
2.2%
Other values (84) 140
61.4%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
1 3
37.5%
3 1
 
12.5%
Space Separator
ValueCountFrequency (%)
20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 228
87.7%
Common 32
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 26
 
11.4%
마 10
 
4.4%
군 8
 
3.5%
주 8
 
3.5%
시 8
 
3.5%
구 7
 
3.1%
실 6
 
2.6%
고 5
 
2.2%
금 5
 
2.2%
천 5
 
2.2%
Other values (84) 140
61.4%
Common
ValueCountFrequency (%)
20
62.5%
2 4
 
12.5%
1 3
 
9.4%
~ 3
 
9.4%
- 1
 
3.1%
3 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 228
87.7%
ASCII 32
 
12.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
길 26
 
11.4%
마 10
 
4.4%
군 8
 
3.5%
주 8
 
3.5%
시 8
 
3.5%
구 7
 
3.1%
실 6
 
2.6%
고 5
 
2.2%
금 5
 
2.2%
천 5
 
2.2%
Other values (84) 140
61.4%
ASCII
ValueCountFrequency (%)
20
62.5%
2 4
 
12.5%
1 3
 
9.4%
~ 3
 
9.4%
- 1
 
3.1%
3 1
 
3.1%

거리
Text

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-03-14T12:03:28.977738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5686275
Min length3

Characters and Unicode

Total characters284
Distinct characters14
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)80.4%

Sample

1st row약28km
2nd row약26.5km
3rd row약26.5km
4th row약27.5km
5th row약29.3km
ValueCountFrequency (%)
3.8km 2
 
3.9%
약50km 2
 
3.9%
약42km 2
 
3.9%
약26.5km 2
 
3.9%
약19.7km 2
 
3.9%
16.94km 1
 
2.0%
11.3km 1
 
2.0%
약28km 1
 
2.0%
42.1km 1
 
2.0%
11.5km 1
 
2.0%
Other values (36) 36
70.6%
2024-03-14T12:03:29.337005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 50
17.6%
m 49
17.3%
. 38
13.4%
1 25
8.8%
2 20
 
7.0%
약 17
 
6.0%
5 17
 
6.0%
3 13
 
4.6%
4 13
 
4.6%
9 10
 
3.5%
Other values (4) 32
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 130
45.8%
Lowercase Letter 99
34.9%
Other Punctuation 38
 
13.4%
Other Letter 17
 
6.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 25
19.2%
2 20
15.4%
5 17
13.1%
3 13
10.0%
4 13
10.0%
9 10
 
7.7%
7 10
 
7.7%
0 9
 
6.9%
6 8
 
6.2%
8 5
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
k 50
50.5%
m 49
49.5%
Other Punctuation
ValueCountFrequency (%)
. 38
100.0%
Other Letter
ValueCountFrequency (%)
약 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 168
59.2%
Latin 99
34.9%
Hangul 17
 
6.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 38
22.6%
1 25
14.9%
2 20
11.9%
5 17
10.1%
3 13
 
7.7%
4 13
 
7.7%
9 10
 
6.0%
7 10
 
6.0%
0 9
 
5.4%
6 8
 
4.8%
Latin
ValueCountFrequency (%)
k 50
50.5%
m 49
49.5%
Hangul
ValueCountFrequency (%)
약 17
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 267
94.0%
Hangul 17
 
6.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 50
18.7%
m 49
18.4%
. 38
14.2%
1 25
9.4%
2 20
 
7.5%
5 17
 
6.4%
3 13
 
4.9%
4 13
 
4.9%
9 10
 
3.7%
7 10
 
3.7%
Other values (3) 22
8.2%
Hangul
ValueCountFrequency (%)
약 17
100.0%

코스
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-03-14T12:03:29.559760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length115
Median length58
Mean length48.45098
Min length10

Characters and Unicode

Total characters2471
Distinct characters309
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row전주한옥마을→한벽루→치명자산성지→숲속오솔길→벚꽃터널
2nd row송광사→오도재→고산→고산천변길→동명교→토마스쉼터→천호
3rd row완주 천호→ 이병기생가→여산숲정이→용기교→생태하천변→채운마을
4th row나바위→기찻길→수로길→금강지류→연화교→구평교→태봉사→황토체험마을→미륵정사→미륵사지
5th row익산 미륵사지→미륵초교→주왕마을→삼정원→구기교→실개천→갈대밭길→춘포
ValueCountFrequency (%)
강경마을 2
 
1.8%
전주한옥마을→한벽루→치명자산성지→숲속오솔길→벚꽃터널 1
 
0.9%
위봉산성→위봉마을→위봉사→위봉폭포→송곶재→시향정전망대→다자미마을→학동마을 1
 
0.9%
입구→구미교→구암정→데크길→어은정→구남교 1
 
0.9%
학암마을→용암리→월면리→지천리→외사양입구→사양리입구→쌍암리→국사봉→국사봉휴게소 1
 
0.9%
용림제→밀목치→마봉산→논개사당→노하숲 1
 
0.9%
노하숲→용계마을→뜬봉샘 1
 
0.9%
마을입구→마을회관(정자나무)→자연농원→농가민박→오디농원→농가민박→귀목나무→마을입구 1
 
0.9%
숭림사→두동교회→두동편백나무→성당포구→금강변→웅포곰개나루→고분전시관 1
 
0.9%
원덕현마을→구신치→원구신마을→하염북마을→상염북마을→아조개재→중평마을 1
 
0.9%
Other values (99) 99
90.0%
2024-03-14T12:03:29.863971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
→ 392
 
15.9%
마 120
 
4.9%
을 113
 
4.6%
59
 
2.4%
구 39
 
1.6%
사 37
 
1.5%
산 33
 
1.3%
지 33
 
1.3%
수 30
 
1.2%
전 27
 
1.1%
Other values (299) 1588
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1965
79.5%
Math Symbol 392
 
15.9%
Space Separator 59
 
2.4%
Open Punctuation 20
 
0.8%
Close Punctuation 20
 
0.8%
Other Punctuation 7
 
0.3%
Decimal Number 7
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 120
 
6.1%
을 113
 
5.8%
구 39
 
2.0%
사 37
 
1.9%
산 33
 
1.7%
지 33
 
1.7%
수 30
 
1.5%
전 27
 
1.4%
교 26
 
1.3%
신 26
 
1.3%
Other values (287) 1481
75.4%
Decimal Number
ValueCountFrequency (%)
8 2
28.6%
9 2
28.6%
3 2
28.6%
1 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
" 2
28.6%
. 1
 
14.3%
Math Symbol
ValueCountFrequency (%)
→ 392
100.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1965
79.5%
Common 506
 
20.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 120
 
6.1%
을 113
 
5.8%
구 39
 
2.0%
사 37
 
1.9%
산 33
 
1.7%
지 33
 
1.7%
수 30
 
1.5%
전 27
 
1.4%
교 26
 
1.3%
신 26
 
1.3%
Other values (287) 1481
75.4%
Common
ValueCountFrequency (%)
→ 392
77.5%
59
 
11.7%
( 20
 
4.0%
) 20
 
4.0%
, 4
 
0.8%
8 2
 
0.4%
9 2
 
0.4%
" 2
 
0.4%
3 2
 
0.4%
- 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1965
79.5%
Arrows 392
 
15.9%
ASCII 114
 
4.6%

Most frequent character per block

Arrows
ValueCountFrequency (%)
→ 392
100.0%
Hangul
ValueCountFrequency (%)
마 120
 
6.1%
을 113
 
5.8%
구 39
 
2.0%
사 37
 
1.9%
산 33
 
1.7%
지 33
 
1.7%
수 30
 
1.5%
전 27
 
1.4%
교 26
 
1.3%
신 26
 
1.3%
Other values (287) 1481
75.4%
ASCII
ValueCountFrequency (%)
59
51.8%
( 20
 
17.5%
) 20
 
17.5%
, 4
 
3.5%
8 2
 
1.8%
9 2
 
1.8%
" 2
 
1.8%
3 2
 
1.8%
- 1
 
0.9%
1 1
 
0.9%

Interactions

2024-03-14T12:03:26.376132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T12:03:29.942837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서길명주소시점위치명칭거리코스
순서1.0000.9620.9790.9870.9390.9671.000
길명0.9621.0000.9891.0001.0000.0001.000
주소0.9790.9891.0001.0000.9790.8521.000
시점위치0.9871.0001.0001.0000.9900.8711.000
명칭0.9391.0000.9790.9901.0000.9341.000
거리0.9670.0000.8520.8710.9341.0001.000
코스1.0001.0001.0001.0001.0001.0001.000
2024-03-14T12:03:30.052878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서길명
순서1.0000.733
길명0.7331.000

Missing values

2024-03-14T12:03:26.463239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T12:03:26.545803image/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

순서길명주소시점위치명칭거리코스
01아름다운 순례길전주시 완산구 태조로 6전주한옥마을한옥마을약28km전주한옥마을→한벽루→치명자산성지→숲속오솔길→벚꽃터널
12아름다운 순례길완주군 소양면 송광수만로 255-16송광사송광사약26.5km송광사→오도재→고산→고산천변길→동명교→토마스쉼터→천호
23아름다운 순례길완주군 비봉면 천호성지길 124완주 천호천호약26.5km완주 천호→ 이병기생가→여산숲정이→용기교→생태하천변→채운마을
34아름다운 순례길익산시 망성면 나바위길 77-4나바위나바위약27.5km나바위→기찻길→수로길→금강지류→연화교→구평교→태봉사→황토체험마을→미륵정사→미륵사지
45아름다운 순례길익산시 금마면 미륵사지로 362익산 미륵사지미륵사지약29.3km익산 미륵사지→미륵초교→주왕마을→삼정원→구기교→실개천→갈대밭길→춘포
56아름다운 순례길완주군 이서면 초남신기길 23-24초남이초남이약24km초남이→산림연구소→두월천→금구교당→금구중→금구향교→영천마을→귀신사→백운동→연리지→금산사
67아름다운 순례길김제시 금산면 모악15길 1김제 금산사금산사약19.7km김제 금산사→금산교회→대순진리회→동심원→정여립활동지→금평저수지→원평성당→원평장터→전봉준고택
78아름다운 순례길김제시 금산면 수류로 643수류수류약21km수류→밤티재→우름티→안덕저수지→장파→모악산숲속길→편백나무오솔길→구이저수지→전북도립미술관→모악산
89아름다운 순례길완주군 구이면 모악산길 91전주 모악산모악산약19.7km전주 모악산→두방마을 전통숲→원당교→삼천교→효자동교회→우진문화공간→서문교회→객사→풍남문→경기전→전동성당→전주향교→한옥마을
910모악산 마실길순창군 동계면 추동길 90-3추동마을입구(경계)전주시12.3km추동마을입구(경계)→추동마을→원당마을→학전마을→완산생활체육공원→ 노송군락지→신금마을→화정마을→봉암마을→독배마을→독배고개마루(경계)
순서길명주소시점위치명칭거리코스
4142마음이 머무는길장수군 장수읍 덕산로 795용림제마루한 길12.5km용림제→밀목치→마봉산→논개사당→노하숲
4243마음이 머무는길임실군 운암면 학암2길 30학암마을옥정호 마실길17.64k학암마을→용암리→월면리→지천리→외사양입구→사양리입구→쌍암리→국사봉→국사봉휴게소
4344마음이 머무는길순창군 적성면 강경길 159-4강경마을마실길14km강경마을 입구→구미교→구암정→데크길→어은정→구남교
4445마음이 머무는길순창군 적성면 강경길 159-4강경마을마실길24.5km강경마을 입구→강경마을→임도→세목재 갈림길→드무소골
4546마음이 머무는길순창군 적성면 강경길 76-165드무소골마실길33.8km드무소골→현수교→생태학습장→북대미→강경마을 입구
4647마음이 머무는길고창군 고창읍 고인돌공원길 74고인돌박물관고인돌길8.3km고인돌박물관→고인돌유적지→매산재→운곡저수지→동양최대고인돌→운곡샘→용계숲길→용계리 청자도요지→장살비재
4748마음이 머무는길고창군 아산면 운곡로 82장살비재복분자-풍천장어길7.7km장살비재→부정마을 농수로길→ 할매바위→마명마을 모정→아산초등학교→병바위→인천강→강경마을 다리→수변데크→산림경영모델숲
4849마음이 머무는길고창군 부안면 연기길 21산림경영모델숲질마재길11.3km산림경영모델숲→꽃무릇 쉼터→연기제→소요사옛길→ 소요사입구→질마재→웃돔샘(도깨비집)→미당시문학관→미당생가→한국 로하스 식품→연기마을→풍천(강나루 식당)
4950마음이 머무는길고창군 부안면 연기길 17풍천(강나루식당)보은길12.7km풍천(강나루식당)→ 선운사→도솔암→용문굴→소리재→참당암→연천마을→화산마을→사등마을(진채선 생가)→검단소금 전시관→하전갯벌마을
5051마음이 머무는길부안군 진서면 내소사로 187일주문내소사 전나무숲길600m일주문→황토볼체험→친환경발전기 체험→대장금 되어보기(드라마 "대장금" 촬영장소 - 연못)→천왕문