Overview

Dataset statistics

Number of variables7
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory61.7 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 07:30:02.507975
Analysis finished2023-12-12 07:30:03.054164
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T16:30:03.197836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.75
Min length6

Characters and Unicode

Total characters243
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

Unique36 ?
Unique (%)100.0%

Sample

1st row부산진구-1
2nd row부산진구-2
3rd row부산진구-3
4th row부산진구-4
5th row부산진구-5
ValueCountFrequency (%)
부산진구-1 1
 
2.8%
부산진구-2 1
 
2.8%
부산진구-27 1
 
2.8%
부산진구-21 1
 
2.8%
부산진구-22 1
 
2.8%
부산진구-23 1
 
2.8%
부산진구-24 1
 
2.8%
부산진구-25 1
 
2.8%
부산진구-26 1
 
2.8%
부산진구-28 1
 
2.8%
Other values (26) 26
72.2%
2023-12-12T16:30:03.596997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 36
14.8%
산 36
14.8%
진 36
14.8%
구 36
14.8%
- 36
14.8%
1 14
 
5.8%
2 14
 
5.8%
3 11
 
4.5%
4 4
 
1.6%
5 4
 
1.6%
Other values (5) 16
6.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
59.3%
Decimal Number 63
25.9%
Dash Punctuation 36
 
14.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14
22.2%
2 14
22.2%
3 11
17.5%
4 4
 
6.3%
5 4
 
6.3%
6 4
 
6.3%
9 3
 
4.8%
7 3
 
4.8%
8 3
 
4.8%
0 3
 
4.8%
Other Letter
ValueCountFrequency (%)
부 36
25.0%
산 36
25.0%
진 36
25.0%
구 36
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
59.3%
Common 99
40.7%

Most frequent character per script

Common
ValueCountFrequency (%)
- 36
36.4%
1 14
 
14.1%
2 14
 
14.1%
3 11
 
11.1%
4 4
 
4.0%
5 4
 
4.0%
6 4
 
4.0%
9 3
 
3.0%
7 3
 
3.0%
8 3
 
3.0%
Hangul
ValueCountFrequency (%)
부 36
25.0%
산 36
25.0%
진 36
25.0%
구 36
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
59.3%
ASCII 99
40.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 36
25.0%
산 36
25.0%
진 36
25.0%
구 36
25.0%
ASCII
ValueCountFrequency (%)
- 36
36.4%
1 14
 
14.1%
2 14
 
14.1%
3 11
 
11.1%
4 4
 
4.0%
5 4
 
4.0%
6 4
 
4.0%
9 3
 
3.0%
7 3
 
3.0%
8 3
 
3.0%

도로구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
보행자겸용도로
36 

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 36
100.0%

Length

2023-12-12T16:30:03.731664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:03.827222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보행자겸용도로 36
100.0%

도로관리청
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
부산진구청
36 

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 36
100.0%

Length

2023-12-12T16:30:03.966885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:04.061675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산진구청 36
100.0%

기점
Text

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T16:30:04.327101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.0833333
Min length5

Characters and Unicode

Total characters291
Distinct characters69
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

Unique34 ?
Unique (%)94.4%

Sample

1st row새싹로 68
2nd row새싹로 76
3rd row전포대로298번길 1
4th row하마정교차로
5th row거제대로 14-7
ValueCountFrequency (%)
중앙대로 6
 
8.6%
새싹로 5
 
7.1%
가야대로 2
 
2.9%
동평로 2
 
2.9%
백양대로 2
 
2.9%
맞은편 2
 
2.9%
대학로46번길 2
 
2.9%
하마정교차로 2
 
2.9%
전포대로 1
 
1.4%
236 1
 
1.4%
Other values (45) 45
64.3%
2023-12-12T16:30:04.730273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
 
11.7%
로 31
 
10.7%
대 18
 
6.2%
2 15
 
5.2%
1 14
 
4.8%
7 13
 
4.5%
3 11
 
3.8%
8 10
 
3.4%
9 8
 
2.7%
4 8
 
2.7%
Other values (59) 129
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160
55.0%
Decimal Number 91
31.3%
Space Separator 34
 
11.7%
Dash Punctuation 6
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 31
19.4%
대 18
 
11.2%
중 7
 
4.4%
앙 7
 
4.4%
싹 5
 
3.1%
번 5
 
3.1%
새 5
 
3.1%
전 4
 
2.5%
길 4
 
2.5%
동 4
 
2.5%
Other values (47) 70
43.8%
Decimal Number
ValueCountFrequency (%)
2 15
16.5%
1 14
15.4%
7 13
14.3%
3 11
12.1%
8 10
11.0%
9 8
8.8%
4 8
8.8%
6 6
 
6.6%
5 4
 
4.4%
0 2
 
2.2%
Space Separator
ValueCountFrequency (%)
34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160
55.0%
Common 131
45.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 31
19.4%
대 18
 
11.2%
중 7
 
4.4%
앙 7
 
4.4%
싹 5
 
3.1%
번 5
 
3.1%
새 5
 
3.1%
전 4
 
2.5%
길 4
 
2.5%
동 4
 
2.5%
Other values (47) 70
43.8%
Common
ValueCountFrequency (%)
34
26.0%
2 15
11.5%
1 14
10.7%
7 13
 
9.9%
3 11
 
8.4%
8 10
 
7.6%
9 8
 
6.1%
4 8
 
6.1%
- 6
 
4.6%
6 6
 
4.6%
Other values (2) 6
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160
55.0%
ASCII 131
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34
26.0%
2 15
11.5%
1 14
10.7%
7 13
 
9.9%
3 11
 
8.4%
8 10
 
7.6%
9 8
 
6.1%
4 8
 
6.1%
- 6
 
4.6%
6 6
 
4.6%
Other values (2) 6
 
4.6%
Hangul
ValueCountFrequency (%)
로 31
19.4%
대 18
 
11.2%
중 7
 
4.4%
앙 7
 
4.4%
싹 5
 
3.1%
번 5
 
3.1%
새 5
 
3.1%
전 4
 
2.5%
길 4
 
2.5%
동 4
 
2.5%
Other values (47) 70
43.8%

종점
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T16:30:04.951869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.5277778
Min length5

Characters and Unicode

Total characters271
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

Unique36 ?
Unique (%)100.0%

Sample

1st row새싹로 76
2nd row범양로 34-2
3rd row중앙대로 884
4th row중앙대로 807
5th row거제대로 62
ValueCountFrequency (%)
중앙대로 7
 
10.1%
새싹로 4
 
5.8%
동평로 4
 
5.8%
가야대로 3
 
4.3%
거제대로 2
 
2.9%
연수로 2
 
2.9%
76 2
 
2.9%
대학로46번길 2
 
2.9%
신천대로 2
 
2.9%
807 1
 
1.4%
Other values (40) 40
58.0%
2023-12-12T16:30:05.330365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 33
 
12.2%
33
 
12.2%
대 19
 
7.0%
4 12
 
4.4%
8 12
 
4.4%
2 10
 
3.7%
9 10
 
3.7%
1 9
 
3.3%
7 9
 
3.3%
0 9
 
3.3%
Other values (46) 115
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146
53.9%
Decimal Number 90
33.2%
Space Separator 33
 
12.2%
Dash Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 33
22.6%
대 19
 
13.0%
중 7
 
4.8%
앙 7
 
4.8%
가 5
 
3.4%
야 5
 
3.4%
싹 4
 
2.7%
새 4
 
2.7%
평 4
 
2.7%
동 4
 
2.7%
Other values (34) 54
37.0%
Decimal Number
ValueCountFrequency (%)
4 12
13.3%
8 12
13.3%
2 10
11.1%
9 10
11.1%
1 9
10.0%
7 9
10.0%
0 9
10.0%
3 8
8.9%
6 7
7.8%
5 4
 
4.4%
Space Separator
ValueCountFrequency (%)
33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146
53.9%
Common 125
46.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 33
22.6%
대 19
 
13.0%
중 7
 
4.8%
앙 7
 
4.8%
가 5
 
3.4%
야 5
 
3.4%
싹 4
 
2.7%
새 4
 
2.7%
평 4
 
2.7%
동 4
 
2.7%
Other values (34) 54
37.0%
Common
ValueCountFrequency (%)
33
26.4%
4 12
 
9.6%
8 12
 
9.6%
2 10
 
8.0%
9 10
 
8.0%
1 9
 
7.2%
7 9
 
7.2%
0 9
 
7.2%
3 8
 
6.4%
6 7
 
5.6%
Other values (2) 6
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146
53.9%
ASCII 125
46.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 33
22.6%
대 19
 
13.0%
중 7
 
4.8%
앙 7
 
4.8%
가 5
 
3.4%
야 5
 
3.4%
싹 4
 
2.7%
새 4
 
2.7%
평 4
 
2.7%
동 4
 
2.7%
Other values (34) 54
37.0%
ASCII
ValueCountFrequency (%)
33
26.4%
4 12
 
9.6%
8 12
 
9.6%
2 10
 
8.0%
9 10
 
8.0%
1 9
 
7.2%
7 9
 
7.2%
0 9
 
7.2%
3 8
 
6.4%
6 7
 
5.6%
Other values (2) 6
 
4.8%

연장(km)
Real number (ℝ)

Distinct29
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.626
Minimum0.1
Maximum2.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T16:30:05.456309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.12
Q10.245
median0.45
Q31.07
95-th percentile1.3775
Maximum2.2
Range2.1
Interquartile range (IQR)0.825

Descriptive statistics

Standard deviation0.51027276
Coefficient of variation (CV)0.8151322
Kurtosis1.2673439
Mean0.626
Median Absolute Deviation (MAD)0.255
Skewness1.2429044
Sum22.536
Variance0.26037829
MonotonicityNot monotonic
2023-12-12T16:30:05.560283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.55 2
 
5.6%
1.17 2
 
5.6%
0.31 2
 
5.6%
0.12 2
 
5.6%
0.2 2
 
5.6%
0.45 2
 
5.6%
0.33 2
 
5.6%
1.05 1
 
2.8%
0.72 1
 
2.8%
1.2 1
 
2.8%
Other values (19) 19
52.8%
ValueCountFrequency (%)
0.1 1
2.8%
0.12 2
5.6%
0.126 1
2.8%
0.13 1
2.8%
0.2 2
5.6%
0.21 1
2.8%
0.23 1
2.8%
0.25 1
2.8%
0.26 1
2.8%
0.28 1
2.8%
ValueCountFrequency (%)
2.2 1
2.8%
1.76 1
2.8%
1.25 1
2.8%
1.23 1
2.8%
1.2 1
2.8%
1.17 2
5.6%
1.15 1
2.8%
1.13 1
2.8%
1.05 1
2.8%
0.83 1
2.8%

도로폭원(m)
Categorical

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
1.0
16 
2.5
10 
1.5
7 
2.0
2 
1.2
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
1.0 16
44.4%
2.5 10
27.8%
1.5 7
19.4%
2.0 2
 
5.6%
1.2 1
 
2.8%

Length

2023-12-12T16:30:05.696952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:30:05.803309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 16
44.4%
2.5 10
27.8%
1.5 7
19.4%
2.0 2
 
5.6%
1.2 1
 
2.8%

Interactions

2023-12-12T16:30:02.771316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:30:05.882415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호기점종점연장(km)도로폭원(m)
관리번호1.0001.0001.0001.0001.000
기점1.0001.0001.0000.9670.921
종점1.0001.0001.0001.0001.000
연장(km)1.0000.9671.0001.0000.000
도로폭원(m)1.0000.9211.0000.0001.000
2023-12-12T16:30:05.979378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연장(km)도로폭원(m)
연장(km)1.0000.000
도로폭원(m)0.0001.000

Missing values

2023-12-12T16:30:02.874009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:30:03.002886image/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)
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
33부산진구-34보행자겸용도로부산진구청범전로 19 맞은편범전로 60.1262.0
34부산진구-35보행자겸용도로부산진구청새싹로 127새싹로 950.332.5
35부산진구-36보행자겸용도로부산진구청부암동 87-10새싹로 130-70.332.5