Overview

Dataset statistics

Number of variables12
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory100.6 B

Variable types

Numeric1
Categorical7
Text4

Alerts

코스 has constant value ""Constant
자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
시군명 is highly overall correlated with 순번High correlation
길명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:34:45.501126
Analysis finished2024-03-14 01:34:46.257165
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
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
2024-03-14T10:34:46.330144image/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
2024-03-14T10:34:46.503498image/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%

시군명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size540.0 B
완주군
9 
김제시
6 
진안군
5 
익산시
4 
순창군
4 
Other values (9)
23 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)3.9%

Sample

1st row전주시
2nd row완주군
3rd row완주군
4th row익산시
5th row익산시

Common Values

ValueCountFrequency (%)
완주군 9
17.6%
김제시 6
11.8%
진안군 5
9.8%
익산시 4
7.8%
순창군 4
7.8%
고창군 4
7.8%
전주시 3
 
5.9%
장수군 3
 
5.9%
부안군 3
 
5.9%
군산시 3
 
5.9%
Other values (4) 7
13.7%

Length

2024-03-14T10:34:46.615224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
완주군 9
17.6%
김제시 6
11.8%
진안군 5
9.8%
익산시 4
7.8%
순창군 4
7.8%
고창군 4
7.8%
전주시 3
 
5.9%
장수군 3
 
5.9%
부안군 3
 
5.9%
군산시 3
 
5.9%
Other values (4) 7
13.7%

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

2024-03-14T10:34:46.716476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:34:46.808408image/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%

도로명주소
Text

Distinct45
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-03-14T10:34:47.067705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length15.803922
Min length13

Characters and Unicode

Total characters806
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%
2024-03-14T10:34:47.477198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
19.0%
면 43
 
5.3%
군 34
 
4.2%
길 31
 
3.8%
1 28
 
3.5%
시 21
 
2.6%
산 20
 
2.5%
로 20
 
2.5%
4 19
 
2.4%
7 18
 
2.2%
Other values (111) 419
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 490
60.8%
Space Separator 153
 
19.0%
Decimal Number 147
 
18.2%
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 (%)
153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 490
60.8%
Common 316
39.2%

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 (%)
153
48.4%
1 28
 
8.9%
4 19
 
6.0%
7 18
 
5.7%
5 18
 
5.7%
- 16
 
5.1%
3 13
 
4.1%
2 13
 
4.1%
9 12
 
3.8%
6 12
 
3.8%
Other values (2) 14
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 490
60.8%
ASCII 316
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
48.4%
1 28
 
8.9%
4 19
 
6.0%
7 18
 
5.7%
5 18
 
5.7%
- 16
 
5.1%
3 13
 
4.1%
2 13
 
4.1%
9 12
 
3.8%
6 12
 
3.8%
Other values (2) 14
 
4.4%
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
2024-03-14T10:34:47.686932image/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%
2024-03-14T10:34:48.016596image/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
2024-03-14T10:34:48.203402image/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%
2024-03-14T10:34:48.510831image/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

Distinct45
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-03-14T10:34:48.752563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.745098
Min length5

Characters and Unicode

Total characters293
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
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 row28.0km
2nd row26.5km
3rd row26.5km
4th row27.5km
5th row29.3km
ValueCountFrequency (%)
42.0km 2
 
3.9%
4.0km 2
 
3.9%
50.0km 2
 
3.9%
3.8km 2
 
3.9%
26.5km 2
 
3.9%
19.7km 2
 
3.9%
11.75km 1
 
2.0%
16.94km 1
 
2.0%
28.0km 1
 
2.0%
42.1km 1
 
2.0%
Other values (35) 35
68.6%
2024-03-14T10:34:49.063345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 51
17.4%
k 51
17.4%
m 51
17.4%
1 25
8.5%
2 20
 
6.8%
0 19
 
6.5%
5 17
 
5.8%
4 13
 
4.4%
3 13
 
4.4%
9 10
 
3.4%
Other values (3) 23
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 140
47.8%
Lowercase Letter 102
34.8%
Other Punctuation 51
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 25
17.9%
2 20
14.3%
0 19
13.6%
5 17
12.1%
4 13
9.3%
3 13
9.3%
9 10
 
7.1%
7 10
 
7.1%
6 8
 
5.7%
8 5
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
k 51
50.0%
m 51
50.0%
Other Punctuation
ValueCountFrequency (%)
. 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 191
65.2%
Latin 102
34.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 51
26.7%
1 25
13.1%
2 20
 
10.5%
0 19
 
9.9%
5 17
 
8.9%
4 13
 
6.8%
3 13
 
6.8%
9 10
 
5.2%
7 10
 
5.2%
6 8
 
4.2%
Latin
ValueCountFrequency (%)
k 51
50.0%
m 51
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 293
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 51
17.4%
k 51
17.4%
m 51
17.4%
1 25
8.5%
2 20
 
6.8%
0 19
 
6.5%
5 17
 
5.8%
4 13
 
4.4%
3 13
 
4.4%
9 10
 
3.4%
Other values (3) 23
7.8%

코스
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
-
51 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 51
100.0%

Length

2024-03-14T10:34:49.164850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:34:49.232701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
51
100.0%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
관광총괄과
51 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광총괄과 51
100.0%

Length

2024-03-14T10:34:49.626380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:34:49.721529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광총괄과 51
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
공개
51 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 51
100.0%

Length

2024-03-14T10:34:49.805480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:34:49.877879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 51
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2015.1
51 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 51
100.0%

Length

2024-03-14T10:34:49.958795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:34:50.040436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 51
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
1년
51 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 51
100.0%

Length

2024-03-14T10:34:50.120543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:34:50.188545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 51
100.0%

Interactions

2024-03-14T10:34:45.976638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T10:34:50.235215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명길명도로명주소시점위치명칭거리
순번1.0000.8140.9620.9790.9870.9390.952
시군명0.8141.0000.6351.0001.0000.9890.909
길명0.9620.6351.0000.9891.0001.0000.000
도로명주소0.9791.0000.9891.0001.0000.9790.945
시점위치0.9871.0001.0001.0001.0000.9900.941
명칭0.9390.9891.0000.9790.9901.0000.955
거리0.9520.9090.0000.9450.9410.9551.000
2024-03-14T10:34:50.321283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명길명
시군명1.0000.349
길명0.3491.000
2024-03-14T10:34:50.395023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명길명
순번1.0000.5290.733
시군명0.5291.0000.349
길명0.7330.3491.000

Missing values

2024-03-14T10:34:46.064237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:34:46.198095image/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

순번시군명길명도로명주소시점위치명칭거리코스자료출처공개여부작성일갱신주기
01전주시아름다운 순례길전주시 완산구 태조로 6전주한옥마을한옥마을28.0km-관광총괄과공개2015.11년
12완주군아름다운 순례길완주군 소양면 송광수만로 255-16송광사송광사26.5km-관광총괄과공개2015.11년
23완주군아름다운 순례길완주군 비봉면 천호성지길 124완주 천호천호26.5km-관광총괄과공개2015.11년
34익산시아름다운 순례길익산시 망성면 나바위길 77-4나바위나바위27.5km-관광총괄과공개2015.11년
45익산시아름다운 순례길익산시 금마면 미륵사지로 362익산 미륵사지미륵사지29.3km-관광총괄과공개2015.11년
56완주군아름다운 순례길완주군 이서면 초남신기길 23-24초남이초남이24.0km-관광총괄과공개2015.11년
67김제시아름다운 순례길김제시 금산면 모악15길 1김제 금산사금산사19.7km-관광총괄과공개2015.11년
78김제시아름다운 순례길김제시 금산면 수류로 643수류수류21.0km-관광총괄과공개2015.11년
89완주군아름다운 순례길완주군 구이면 모악산길 91전주 모악산모악산19.7km-관광총괄과공개2015.11년
910순창군모악산 마실길순창군 동계면 추동길 90-3추동마을입구(경계)전주시12.3km-관광총괄과공개2015.11년
순번시군명길명도로명주소시점위치명칭거리코스자료출처공개여부작성일갱신주기
4142장수군마음이 머무는길장수군 장수읍 덕산로 795용림제마루한 길12.5km-관광총괄과공개2015.11년
4243임실군마음이 머무는길임실군 운암면 학암2길 30학암마을옥정호 마실길17.64km-관광총괄과공개2015.11년
4344순창군마음이 머무는길순창군 적성면 강경길 159-4강경마을마실길14.0km-관광총괄과공개2015.11년
4445순창군마음이 머무는길순창군 적성면 강경길 159-4강경마을마실길24.5km-관광총괄과공개2015.11년
4546순창군마음이 머무는길순창군 적성면 강경길 76-165드무소골마실길33.8km-관광총괄과공개2015.11년
4647고창군마음이 머무는길고창군 고창읍 고인돌공원길 74고인돌박물관고인돌길8.3km-관광총괄과공개2015.11년
4748고창군마음이 머무는길고창군 아산면 운곡로 82장살비재복분자-풍천장어길7.7km-관광총괄과공개2015.11년
4849고창군마음이 머무는길고창군 부안면 연기길 21산림경영모델숲질마재길11.3km-관광총괄과공개2015.11년
4950고창군마음이 머무는길고창군 부안면 연기길 17풍천(강나루식당)보은길12.7km-관광총괄과공개2015.11년
5051부안군마음이 머무는길부안군 진서면 내소사로 187일주문내소사 전나무숲길0.6km-관광총괄과공개2015.11년