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 memory59.5 B

Variable types

Numeric1
Categorical1
Text5

Dataset

Description전북특별자치도 테마길(길명, 주소, 시점위치, 명칭 등) 입니다.우리기관에서는 더 이상 생성 불가 데이터입니다.
Author전북특별자치도
URLhttps://www.data.go.kr/data/15055531/fileData.do

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 20:43:01.611495
Analysis finished2024-03-14 20:43:03.472973
Duration1.86 second
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 size587.0 B
2024-03-15T05:43:03.642052image/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
2024-03-15T05:43:04.007066image/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 size536.0 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

2024-03-15T05:43:04.442272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:43:04.716198image/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 size536.0 B
2024-03-15T05:43:05.985630image/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%
2024-03-15T05:43:07.710928image/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 size536.0 B
2024-03-15T05:43:08.755217image/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%
2024-03-15T05:43:10.257396image/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 size536.0 B
2024-03-15T05:43:11.123091image/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%
2024-03-15T05:43:12.473698image/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 size536.0 B
2024-03-15T05:43:13.463888image/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%
2024-03-15T05:43:15.495305image/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 size536.0 B
2024-03-15T05:43:16.322587image/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%
2024-03-15T05:43:17.435998image/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

2024-03-15T05:43:02.606502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T05:43:17.596635image/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
2024-03-15T05:43:17.808900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서길명
순서1.0000.733
길명0.7331.000

Missing values

2024-03-15T05:43:02.948404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:43:03.330899image/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