Overview

Dataset statistics

Number of variables5
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory47.3 B

Variable types

Numeric2
Categorical2
Text1

Dataset

Description부산광역시 북구 관내에 존재하는 등산로 현황으로 노선번호, 산이름, 구간, 길이, 개방여부 등의 데이터를 제공합니다.
Author부산광역시 북구
URLhttps://www.data.go.kr/data/15021403/fileData.do

Alerts

노선번호 is highly overall correlated with 산명High correlation
산명 is highly overall correlated with 노선번호High correlation
노선번호 has unique valuesUnique
구간 has unique valuesUnique
연장 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:05:28.375028
Analysis finished2023-12-12 20:05:29.243804
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

노선번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:05:29.325661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityNot monotonic
2023-12-13T05:05:29.500291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
4 1
 
4.0%
25 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
19 1
 
4.0%
17 1
 
4.0%
16 1
 
4.0%
12 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

산명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
금정산
18 
백양산
7 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금정산 18
72.0%
백양산 7
 
28.0%

Length

2023-12-13T05:05:29.696846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:05:29.811093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금정산 18
72.0%
백양산 7
 
28.0%

구간
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T05:05:29.997388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length12.84
Min length8

Characters and Unicode

Total characters321
Distinct characters99
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

Unique25 ?
Unique (%)100.0%

Sample

1st row금곡 주공1단 ~ 정상
2nd row금곡 주공4단지 ~ 정상
3rd row금곡 주공6단지 ~ 정상
4th row화명정수장 ~ 만덕 석불사
5th row북부산변전소~계곡~정상
ValueCountFrequency (%)
24
28.9%
정상 7
 
8.4%
금곡 5
 
6.0%
상계봉 3
 
3.6%
산중턱 3
 
3.6%
만남의 2
 
2.4%
산정상 2
 
2.4%
전망대 2
 
2.4%
고당봉 2
 
2.4%
광장 2
 
2.4%
Other values (30) 31
37.3%
2023-12-13T05:05:30.374358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
 
18.1%
~ 26
 
8.1%
상 15
 
4.7%
정 14
 
4.4%
산 8
 
2.5%
만 8
 
2.5%
장 7
 
2.2%
덕 7
 
2.2%
곡 6
 
1.9%
금 5
 
1.6%
Other values (89) 167
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 228
71.0%
Space Separator 58
 
18.1%
Math Symbol 26
 
8.1%
Decimal Number 9
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 15
 
6.6%
정 14
 
6.1%
산 8
 
3.5%
만 8
 
3.5%
장 7
 
3.1%
덕 7
 
3.1%
곡 6
 
2.6%
금 5
 
2.2%
공 5
 
2.2%
봉 5
 
2.2%
Other values (81) 148
64.9%
Decimal Number
ValueCountFrequency (%)
3 2
22.2%
0 2
22.2%
4 2
22.2%
6 1
11.1%
1 1
11.1%
2 1
11.1%
Space Separator
ValueCountFrequency (%)
58
100.0%
Math Symbol
ValueCountFrequency (%)
~ 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 228
71.0%
Common 93
29.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 15
 
6.6%
정 14
 
6.1%
산 8
 
3.5%
만 8
 
3.5%
장 7
 
3.1%
덕 7
 
3.1%
곡 6
 
2.6%
금 5
 
2.2%
공 5
 
2.2%
봉 5
 
2.2%
Other values (81) 148
64.9%
Common
ValueCountFrequency (%)
58
62.4%
~ 26
28.0%
3 2
 
2.2%
0 2
 
2.2%
4 2
 
2.2%
6 1
 
1.1%
1 1
 
1.1%
2 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 228
71.0%
ASCII 93
29.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
62.4%
~ 26
28.0%
3 2
 
2.2%
0 2
 
2.2%
4 2
 
2.2%
6 1
 
1.1%
1 1
 
1.1%
2 1
 
1.1%
Hangul
ValueCountFrequency (%)
상 15
 
6.6%
정 14
 
6.1%
산 8
 
3.5%
만 8
 
3.5%
장 7
 
3.1%
덕 7
 
3.1%
곡 6
 
2.6%
금 5
 
2.2%
공 5
 
2.2%
봉 5
 
2.2%
Other values (81) 148
64.9%

연장
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6456
Minimum0.7
Maximum7.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T05:05:30.540856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile0.802
Q11.2
median1.6
Q32.9
95-th percentile6.74
Maximum7.1
Range6.4
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation2.1162429
Coefficient of variation (CV)0.79991038
Kurtosis0.052988041
Mean2.6456
Median Absolute Deviation (MAD)0.67
Skewness1.251307
Sum66.14
Variance4.478484
MonotonicityNot monotonic
2023-12-13T05:05:30.695520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3.43 1
 
4.0%
1.37 1
 
4.0%
6.5 1
 
4.0%
2.8 1
 
4.0%
1.29 1
 
4.0%
1.36 1
 
4.0%
0.7 1
 
4.0%
1.89 1
 
4.0%
2.55 1
 
4.0%
6.2 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
0.7 1
4.0%
0.77 1
4.0%
0.93 1
4.0%
1.04 1
4.0%
1.08 1
4.0%
1.17 1
4.0%
1.2 1
4.0%
1.29 1
4.0%
1.36 1
4.0%
1.37 1
4.0%
ValueCountFrequency (%)
7.1 1
4.0%
6.8 1
4.0%
6.5 1
4.0%
6.2 1
4.0%
6.18 1
4.0%
3.43 1
4.0%
2.9 1
4.0%
2.8 1
4.0%
2.55 1
4.0%
2.5 1
4.0%

참고
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
개방
13 
입산통제
12 

Length

Max length4
Median length2
Mean length2.96
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개방 13
52.0%
입산통제 12
48.0%

Length

2023-12-13T05:05:30.837222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:05:30.985069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개방 13
52.0%
입산통제 12
48.0%

Interactions

2023-12-13T05:05:28.842036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:28.636851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:28.951319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:28.736098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:05:31.054368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선번호산명구간연장참고
노선번호1.0000.9841.0000.5820.373
산명0.9841.0001.0000.0000.000
구간1.0001.0001.0001.0001.000
연장0.5820.0001.0001.0000.258
참고0.3730.0001.0000.2581.000
2023-12-13T05:05:31.175321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
참고산명
참고1.0000.000
산명0.0001.000
2023-12-13T05:05:31.273748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선번호연장산명참고
노선번호1.000-0.3720.7170.106
연장-0.3721.0000.0000.224
산명0.7170.0001.0000.000
참고0.1060.2240.0001.000

Missing values

2023-12-13T05:05:29.096680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:05:29.196305image/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

노선번호산명구간연장참고
01금정산금곡 주공1단 ~ 정상3.43입산통제
14금정산금곡 주공4단지 ~ 정상1.37입산통제
25금정산금곡 주공6단지 ~ 정상1.5입산통제
38금정산화명정수장 ~ 만덕 석불사6.8입산통제
49금정산북부산변전소~계곡~정상2.5입산통제
511금정산롯데캐슬카이저402동 ~ 전망대1.7입산통제
613금정산폴리텍대학 ~ 산중턱1.08입산통제
714금정산옥천사 ~ 산중턱1.04입산통제
815금정산만덕상학노인정 ~ 상계봉0.93입산통제
918금정산만덕석불사 ~ 산정상 헬기장1.17입산통제
노선번호산명구간연장참고
157금정산화명정수장 ~ 가나안기도원2.9개방
1610금정산수정캐슬유치원 ~ 전망대1.6개방
1712금정산덕천낙동고교 ~ 상계봉6.2개방
1816금정산상학초등학교 ~ 상계봉2.55개방
1917금정산시민화장실 ~ 남문1.89개방
2019백양산만덕사 ~ 정상0.7개방
2121백양산백양근린공원 ~ 만남의 광장1.36개방
2222백양산만덕노인병원 ~ 정상1.29개방
2323백양산보광사 ~ 백양산 정상2.8개방
2425백양산구포효림유치원 ~ 만남의 광장6.5개방