Overview

Dataset statistics

Number of variables4
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory986.0 B
Average record size in memory37.9 B

Variable types

Text2
Numeric1
Categorical1

Dataset

Description전북특별자치도 예향천리 마실길 주요 노선 안내물건의 길이나 걸어간 거리 따위를 일괄하였을 때의 전체 길이우리기관에서는 더 이상 생성 불가 데이터입니다.
Author전북특별자치도
URLhttps://www.data.go.kr/data/15055533/fileData.do

Alerts

조성연도 is highly imbalanced (60.9%)Imbalance
주 요 노 선 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:10:58.808310
Analysis finished2024-03-15 01:11:00.166257
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Text

Distinct14
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T10:11:00.800630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78
Distinct characters24
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row전주시
2nd row전주시
3rd row군산시
4th row군산시
5th row익산시
ValueCountFrequency (%)
전주시 2
 
7.7%
군산시 2
 
7.7%
익산시 2
 
7.7%
정읍시 2
 
7.7%
남원시 2
 
7.7%
김제시 2
 
7.7%
완주군 2
 
7.7%
진안군 2
 
7.7%
무주군 2
 
7.7%
장수군 2
 
7.7%
Other values (4) 6
23.1%
2024-03-15T10:11:02.366299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
20.5%
12
15.4%
6
 
7.7%
4
 
5.1%
4
 
5.1%
3
 
3.8%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (14) 25
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16
20.5%
12
15.4%
6
 
7.7%
4
 
5.1%
4
 
5.1%
3
 
3.8%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (14) 25
32.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16
20.5%
12
15.4%
6
 
7.7%
4
 
5.1%
4
 
5.1%
3
 
3.8%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (14) 25
32.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
16
20.5%
12
15.4%
6
 
7.7%
4
 
5.1%
4
 
5.1%
3
 
3.8%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (14) 25
32.1%

주 요 노 선
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size336.0 B
2024-03-15T10:11:03.498205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length23.115385
Min length17

Characters and Unicode

Total characters601
Distinct characters158
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row모악산마실길(원당마을 →체련공원 → 독배마을)
2nd row천년전주마실길(아태무형→다가공원→전통문화센터)
3rd row군산마실길(군산저수지→백석제 → 은파호수공원)
4th row선유도길(선유도선착장→명사십리 → 남악산)
5th row미륵산둘레길(미륵사지→서동공원→쌍릉)
ValueCountFrequency (%)
7
 
12.7%
원덕현 2
 
3.6%
예향천리순창마실길 2
 
3.6%
옥정호 1
 
1.8%
풍혈냉천 1
 
1.8%
오암 1
 
1.8%
예향천리금강변마실길(유평마을→ 1
 
1.8%
굴암→ 1
 
1.8%
잠두마을 1
 
1.8%
예향천리백두대산마실길(서면마을→안성면→ 1
 
1.8%
Other values (37) 37
67.3%
2024-03-15T10:11:05.245505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
8.2%
35
 
5.8%
31
 
5.2%
27
 
4.5%
( 27
 
4.5%
) 27
 
4.5%
18
 
3.0%
16
 
2.7%
14
 
2.3%
11
 
1.8%
Other values (148) 346
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 463
77.0%
Math Symbol 51
 
8.5%
Space Separator 31
 
5.2%
Open Punctuation 27
 
4.5%
Close Punctuation 27
 
4.5%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
35
 
7.6%
27
 
5.8%
18
 
3.9%
16
 
3.5%
14
 
3.0%
11
 
2.4%
11
 
2.4%
11
 
2.4%
10
 
2.2%
9
 
1.9%
Other values (141) 301
65.0%
Math Symbol
ValueCountFrequency (%)
49
96.1%
~ 2
 
3.9%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 463
77.0%
Common 138
 
23.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
35
 
7.6%
27
 
5.8%
18
 
3.9%
16
 
3.5%
14
 
3.0%
11
 
2.4%
11
 
2.4%
11
 
2.4%
10
 
2.2%
9
 
1.9%
Other values (141) 301
65.0%
Common
ValueCountFrequency (%)
49
35.5%
31
22.5%
( 27
19.6%
) 27
19.6%
~ 2
 
1.4%
4 1
 
0.7%
1 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 463
77.0%
ASCII 89
 
14.8%
Arrows 49
 
8.2%

Most frequent character per block

Arrows
ValueCountFrequency (%)
49
100.0%
Hangul
ValueCountFrequency (%)
35
 
7.6%
27
 
5.8%
18
 
3.9%
16
 
3.5%
14
 
3.0%
11
 
2.4%
11
 
2.4%
11
 
2.4%
10
 
2.2%
9
 
1.9%
Other values (141) 301
65.0%
ASCII
ValueCountFrequency (%)
31
34.8%
( 27
30.3%
) 27
30.3%
~ 2
 
2.2%
4 1
 
1.1%
1 1
 
1.1%

연장
Real number (ℝ)

Distinct13
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.884615
Minimum26
Maximum115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size362.0 B
2024-03-15T10:11:05.547334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile27.5
Q134.75
median48
Q377.25
95-th percentile95
Maximum115
Range89
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation26.271394
Coefficient of variation (CV)0.47010065
Kurtosis-0.64727977
Mean55.884615
Median Absolute Deviation (MAD)14
Skewness0.79001605
Sum1453
Variance690.18615
MonotonicityNot monotonic
2024-03-15T10:11:05.740413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
57 4
15.4%
39 2
7.7%
38 2
7.7%
83 2
7.7%
33 2
7.7%
37 2
7.7%
60 2
7.7%
34 2
7.7%
95 2
7.7%
26 2
7.7%
Other values (3) 4
15.4%
ValueCountFrequency (%)
26 2
7.7%
32 1
 
3.8%
33 2
7.7%
34 2
7.7%
37 2
7.7%
38 2
7.7%
39 2
7.7%
57 4
15.4%
60 2
7.7%
83 2
7.7%
ValueCountFrequency (%)
115 1
 
3.8%
95 2
7.7%
94 2
7.7%
83 2
7.7%
60 2
7.7%
57 4
15.4%
39 2
7.7%
38 2
7.7%
37 2
7.7%
34 2
7.7%

조성연도
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size336.0 B
2010~2011
24 
2010
 
2

Length

Max length9
Median length9
Mean length8.6153846
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2010~2011
2nd row2010~2011
3rd row2010~2011
4th row2010~2011
5th row2010~2011

Common Values

ValueCountFrequency (%)
2010~2011 24
92.3%
2010 2
 
7.7%

Length

2024-03-15T10:11:06.106750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:11:06.282873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2010~2011 24
92.3%
2010 2
 
7.7%

Interactions

2024-03-15T10:10:59.196966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:11:06.397225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군주 요 노 선연장조성연도
시군1.0001.0001.0001.000
주 요 노 선1.0001.0001.0001.000
연장1.0001.0001.0000.451
조성연도1.0001.0000.4511.000
2024-03-15T10:11:06.555629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연장조성연도
연장1.0000.285
조성연도0.2851.000

Missing values

2024-03-15T10:10:59.764358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:11:00.070862image/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

시군주 요 노 선연장조성연도
0전주시모악산마실길(원당마을 →체련공원 → 독배마을)392010~2011
1전주시천년전주마실길(아태무형→다가공원→전통문화센터)392010~2011
2군산시군산마실길(군산저수지→백석제 → 은파호수공원)382010~2011
3군산시선유도길(선유도선착장→명사십리 → 남악산)382010~2011
4익산시미륵산둘레길(미륵사지→서동공원→쌍릉)832010~2011
5익산시함라산둘레길 (성당포구→함라산→숭림사)832010~2011
6정읍시정읍사오솔길(정읍사공원→연지교→정읍천변)332010~2011
7정읍시대장금마실길(황토리~산호수마을~백필마을)332010~2011
8남원시바래봉둘레길(바래봉→내령→반선)372010~2011
9남원시지리산신선둘레길(삼산마을→황산대첩비→지리산숲길)372010~2011
시군주 요 노 선연장조성연도
16무주군예향천리금강변마실길(유평마을→ 굴암→ 잠두마을)572010
17무주군예향천리백두대산마실길(서면마을→안성면→ 마암마을)572010
18장수군백두대간마실길(시루봉→논계기념관→수분령휴게소)952010~2011
19장수군승마마실길(장수노하숲→국제승마장→당저)952010~2011
20임실군옥정호 마실길(국사봉→학암리→입석리)322010~2011
21순창군예향천리순창마실길 1코스 (입석마을→도왕마을→강경마을)262010~2011
22순창군예향천리순창마실길 4코스 (내월초→도왕마을→강경마을)262010~2011
23고창군역사길(무장읍성→천수정→사신원)942010~2011
24고창군수변길(석남리→용대저수지→두암저수지)942010~2011
25부안군부안마실길(새만금전시관 →줄포 부안자연생태공원)1152010~2011