Overview

Dataset statistics

Number of variables7
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory62.0 B

Variable types

Text3
Categorical3
Numeric1

Dataset

Description부산광역시 부산진구 관내 설치되어 있는 자전거도로에 대한 데이터로 자전거도로의 유형, 기종점, 연장 및 도로폭원 등의 정보를 제공합니다.
Author부산광역시 부산진구
URLhttps://www.data.go.kr/data/15011928/fileData.do

Alerts

도로구분 has constant value ""Constant
도로관리청 has constant value ""Constant
관리번호 has unique valuesUnique
종점 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:29:57.910863
Analysis finished2023-12-12 07:29:58.513675
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T16:29:58.685080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.7272727
Min length6

Characters and Unicode

Total characters222
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row부산진구-1
2nd row부산진구-2
3rd row부산진구-3
4th row부산진구-4
5th row부산진구-5
ValueCountFrequency (%)
부산진구-1 1
 
3.0%
부산진구-18 1
 
3.0%
부산진구-32 1
 
3.0%
부산진구-31 1
 
3.0%
부산진구-30 1
 
3.0%
부산진구-29 1
 
3.0%
부산진구-28 1
 
3.0%
부산진구-27 1
 
3.0%
부산진구-26 1
 
3.0%
부산진구-25 1
 
3.0%
Other values (23) 23
69.7%
2023-12-12T16:29:59.085299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 33
14.9%
산 33
14.9%
진 33
14.9%
구 33
14.9%
- 33
14.9%
1 14
6.3%
2 14
6.3%
3 8
 
3.6%
4 3
 
1.4%
5 3
 
1.4%
Other values (5) 15
6.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
59.5%
Decimal Number 57
25.7%
Dash Punctuation 33
 
14.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14
24.6%
2 14
24.6%
3 8
14.0%
4 3
 
5.3%
5 3
 
5.3%
6 3
 
5.3%
7 3
 
5.3%
8 3
 
5.3%
9 3
 
5.3%
0 3
 
5.3%
Other Letter
ValueCountFrequency (%)
부 33
25.0%
산 33
25.0%
진 33
25.0%
구 33
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
59.5%
Common 90
40.5%

Most frequent character per script

Common
ValueCountFrequency (%)
- 33
36.7%
1 14
15.6%
2 14
15.6%
3 8
 
8.9%
4 3
 
3.3%
5 3
 
3.3%
6 3
 
3.3%
7 3
 
3.3%
8 3
 
3.3%
9 3
 
3.3%
Hangul
ValueCountFrequency (%)
부 33
25.0%
산 33
25.0%
진 33
25.0%
구 33
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
59.5%
ASCII 90
40.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 33
25.0%
산 33
25.0%
진 33
25.0%
구 33
25.0%
ASCII
ValueCountFrequency (%)
- 33
36.7%
1 14
15.6%
2 14
15.6%
3 8
 
8.9%
4 3
 
3.3%
5 3
 
3.3%
6 3
 
3.3%
7 3
 
3.3%
8 3
 
3.3%
9 3
 
3.3%

도로구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
보행자겸용도로
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보행자겸용도로 33
100.0%

Length

2023-12-12T16:29:59.247363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:29:59.357301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보행자겸용도로 33
100.0%

도로관리청
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
부산진구청
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산진구청 33
100.0%

Length

2023-12-12T16:29:59.474633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:29:59.571319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산진구청 33
100.0%

기점
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T16:29:59.756041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.030303
Min length5

Characters and Unicode

Total characters265
Distinct characters67
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

Unique31 ?
Unique (%)93.9%

Sample

1st row새싹로 68
2nd row새싹로 76
3rd row전포대로298번길 1
4th row하마정교차로
5th row거제대로 14-7
ValueCountFrequency (%)
중앙대로 6
 
9.5%
새싹로 4
 
6.3%
하마정교차로 2
 
3.2%
가야대로 2
 
3.2%
대학로46번길 2
 
3.2%
백양대로 2
 
3.2%
동평로 2
 
3.2%
맞은편 1
 
1.6%
883-2 1
 
1.6%
연수로 1
 
1.6%
Other values (40) 40
63.5%
2023-12-12T16:30:00.166364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
11.3%
로 29
 
10.9%
대 18
 
6.8%
2 14
 
5.3%
7 11
 
4.2%
1 11
 
4.2%
3 11
 
4.2%
8 9
 
3.4%
4 8
 
3.0%
중 7
 
2.6%
Other values (57) 117
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148
55.8%
Decimal Number 82
30.9%
Space Separator 30
 
11.3%
Dash Punctuation 5
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 29
19.6%
대 18
 
12.2%
중 7
 
4.7%
앙 7
 
4.7%
번 5
 
3.4%
싹 4
 
2.7%
길 4
 
2.7%
새 4
 
2.7%
가 3
 
2.0%
정 3
 
2.0%
Other values (45) 64
43.2%
Decimal Number
ValueCountFrequency (%)
2 14
17.1%
7 11
13.4%
1 11
13.4%
3 11
13.4%
8 9
11.0%
4 8
9.8%
9 7
8.5%
6 6
7.3%
5 4
 
4.9%
0 1
 
1.2%
Space Separator
ValueCountFrequency (%)
30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148
55.8%
Common 117
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 29
19.6%
대 18
 
12.2%
중 7
 
4.7%
앙 7
 
4.7%
번 5
 
3.4%
싹 4
 
2.7%
길 4
 
2.7%
새 4
 
2.7%
가 3
 
2.0%
정 3
 
2.0%
Other values (45) 64
43.2%
Common
ValueCountFrequency (%)
30
25.6%
2 14
12.0%
7 11
 
9.4%
1 11
 
9.4%
3 11
 
9.4%
8 9
 
7.7%
4 8
 
6.8%
9 7
 
6.0%
6 6
 
5.1%
- 5
 
4.3%
Other values (2) 5
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148
55.8%
ASCII 117
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
25.6%
2 14
12.0%
7 11
 
9.4%
1 11
 
9.4%
3 11
 
9.4%
8 9
 
7.7%
4 8
 
6.8%
9 7
 
6.0%
6 6
 
5.1%
- 5
 
4.3%
Other values (2) 5
 
4.3%
Hangul
ValueCountFrequency (%)
로 29
19.6%
대 18
 
12.2%
중 7
 
4.7%
앙 7
 
4.7%
번 5
 
3.4%
싹 4
 
2.7%
길 4
 
2.7%
새 4
 
2.7%
가 3
 
2.0%
정 3
 
2.0%
Other values (45) 64
43.2%

종점
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T16:30:00.353482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.6060606
Min length5

Characters and Unicode

Total characters251
Distinct characters56
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

Unique33 ?
Unique (%)100.0%

Sample

1st row새싹로 76
2nd row범양로 34-2
3rd row중앙대로 884
4th row중앙대로 807
5th row거제대로 62
ValueCountFrequency (%)
중앙대로 7
 
11.1%
동평로 4
 
6.3%
가야대로 3
 
4.8%
새싹로 2
 
3.2%
연수로 2
 
3.2%
76 2
 
3.2%
대학로46번길 2
 
3.2%
신천대로 2
 
3.2%
거제대로 2
 
3.2%
62 1
 
1.6%
Other values (36) 36
57.1%
2023-12-12T16:30:00.671029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 30
 
12.0%
30
 
12.0%
대 19
 
7.6%
4 12
 
4.8%
8 12
 
4.8%
2 10
 
4.0%
9 9
 
3.6%
1 8
 
3.2%
0 8
 
3.2%
7 8
 
3.2%
Other values (46) 105
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137
54.6%
Decimal Number 83
33.1%
Space Separator 30
 
12.0%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 30
21.9%
대 19
 
13.9%
중 7
 
5.1%
앙 7
 
5.1%
가 5
 
3.6%
야 5
 
3.6%
평 4
 
2.9%
동 4
 
2.9%
거 3
 
2.2%
양 3
 
2.2%
Other values (34) 50
36.5%
Decimal Number
ValueCountFrequency (%)
4 12
14.5%
8 12
14.5%
2 10
12.0%
9 9
10.8%
1 8
9.6%
0 8
9.6%
7 8
9.6%
3 7
8.4%
6 6
7.2%
5 3
 
3.6%
Space Separator
ValueCountFrequency (%)
30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137
54.6%
Common 114
45.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 30
21.9%
대 19
 
13.9%
중 7
 
5.1%
앙 7
 
5.1%
가 5
 
3.6%
야 5
 
3.6%
평 4
 
2.9%
동 4
 
2.9%
거 3
 
2.2%
양 3
 
2.2%
Other values (34) 50
36.5%
Common
ValueCountFrequency (%)
30
26.3%
4 12
 
10.5%
8 12
 
10.5%
2 10
 
8.8%
9 9
 
7.9%
1 8
 
7.0%
0 8
 
7.0%
7 8
 
7.0%
3 7
 
6.1%
6 6
 
5.3%
Other values (2) 4
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137
54.6%
ASCII 114
45.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 30
21.9%
대 19
 
13.9%
중 7
 
5.1%
앙 7
 
5.1%
가 5
 
3.6%
야 5
 
3.6%
평 4
 
2.9%
동 4
 
2.9%
거 3
 
2.2%
양 3
 
2.2%
Other values (34) 50
36.5%
ASCII
ValueCountFrequency (%)
30
26.3%
4 12
 
10.5%
8 12
 
10.5%
2 10
 
8.8%
9 9
 
7.9%
1 8
 
7.0%
0 8
 
7.0%
7 8
 
7.0%
3 7
 
6.1%
6 6
 
5.3%
Other values (2) 4
 
3.5%

연장(km)
Real number (ℝ)

Distinct27
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.65909091
Minimum0.1
Maximum2.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T16:30:01.040018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.12
Q10.25
median0.5
Q31.13
95-th percentile1.454
Maximum2.2
Range2.1
Interquartile range (IQR)0.88

Descriptive statistics

Standard deviation0.51997214
Coefficient of variation (CV)0.78892324
Kurtosis0.98427881
Mean0.65909091
Median Absolute Deviation (MAD)0.3
Skewness1.1300014
Sum21.75
Variance0.27037102
MonotonicityNot monotonic
2023-12-12T16:30:01.154180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.12 2
 
6.1%
1.17 2
 
6.1%
0.45 2
 
6.1%
0.31 2
 
6.1%
0.2 2
 
6.1%
0.55 2
 
6.1%
1.25 1
 
3.0%
1.13 1
 
3.0%
1.05 1
 
3.0%
0.72 1
 
3.0%
Other values (17) 17
51.5%
ValueCountFrequency (%)
0.1 1
3.0%
0.12 2
6.1%
0.13 1
3.0%
0.2 2
6.1%
0.21 1
3.0%
0.23 1
3.0%
0.25 1
3.0%
0.26 1
3.0%
0.28 1
3.0%
0.31 2
6.1%
ValueCountFrequency (%)
2.2 1
3.0%
1.76 1
3.0%
1.25 1
3.0%
1.23 1
3.0%
1.2 1
3.0%
1.17 2
6.1%
1.15 1
3.0%
1.13 1
3.0%
1.05 1
3.0%
0.83 1
3.0%

도로폭원(m)
Categorical

Distinct5
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
1.0
16 
2.5
8 
1.5
7 
1.2
 
1
2.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)6.1%

Sample

1st row2.5
2nd row2.5
3rd row2.5
4th row2.5
5th row2.5

Common Values

ValueCountFrequency (%)
1.0 16
48.5%
2.5 8
24.2%
1.5 7
21.2%
1.2 1
 
3.0%
2.0 1
 
3.0%

Length

2023-12-12T16:30:01.288687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:01.383067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 16
48.5%
2.5 8
24.2%
1.5 7
21.2%
1.2 1
 
3.0%
2.0 1
 
3.0%

Interactions

2023-12-12T16:29:58.180087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:30:01.456398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호기점종점연장(km)도로폭원(m)
관리번호1.0001.0001.0001.0001.000
기점1.0001.0001.0000.9870.887
종점1.0001.0001.0001.0001.000
연장(km)1.0000.9871.0001.0000.000
도로폭원(m)1.0000.8871.0000.0001.000
2023-12-12T16:30:01.568487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연장(km)도로폭원(m)
연장(km)1.0000.000
도로폭원(m)0.0001.000

Missing values

2023-12-12T16:29:58.305808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:29:58.461299image/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

관리번호도로구분도로관리청기점종점연장(km)도로폭원(m)
0부산진구-1보행자겸용도로부산진구청새싹로 68새싹로 760.12.5
1부산진구-2보행자겸용도로부산진구청새싹로 76범양로 34-20.832.5
2부산진구-3보행자겸용도로부산진구청전포대로298번길 1중앙대로 8840.712.5
3부산진구-4보행자겸용도로부산진구청하마정교차로중앙대로 8071.232.5
4부산진구-5보행자겸용도로부산진구청거제대로 14-7거제대로 620.62.5
5부산진구-6보행자겸용도로부산진구청개금과선교가야대로 4070.362.5
6부산진구-7보행자겸용도로부산진구청백양대로 232-2당감서로 31.171.0
7부산진구-8보행자겸용도로부산진구청백양대로 227진양사거리2.21.0
8부산진구-9보행자겸용도로부산진구청동의대역 4번 출구가야대로 5090.451.0
9부산진구-10보행자겸용도로부산진구청가야대로 713가야대로 6011.151.0
관리번호도로구분도로관리청기점종점연장(km)도로폭원(m)
23부산진구-24보행자겸용도로부산진구청중앙대로 931동평로 3930.311.5
24부산진구-25보행자겸용도로부산진구청동평로 394동평로 4200.311.5
25부산진구-26보행자겸용도로부산진구청하마정교차로거제대로 760.261.5
26부산진구-27보행자겸용도로부산진구청동평로 211동평로 3811.761.5
27부산진구-28보행자겸용도로부산진구청새싹로 50-1새싹로 300.231.5
28부산진구-29보행자겸용도로부산진구청중앙대로 735중앙대로 7510.22.0
29부산진구-30보행자겸용도로부산진구청중앙대로 787중앙대로 7990.131.5
30부산진구-31보행자겸용도로부산진구청중앙대로 748중앙대로 8080.721.0
31부산진구-32보행자겸용도로부산진구청서전로46번길 9문전교차로1.052.5
32부산진구-33보행자겸용도로부산진구청전포대로 236전포대로 1241.132.5