Overview

Dataset statistics

Number of variables4
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory846.0 B
Average record size in memory40.3 B

Variable types

Categorical1
Text1
Numeric2

Dataset

Description부산광역시남구_안심귀갓길설치현황_20210617
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060673

Reproduction

Analysis started2023-12-10 17:09:48.216494
Analysis finished2023-12-10 17:09:49.161118
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
그림자조명
12 
비상벨
9 

Length

Max length5
Median length5
Mean length4.1428571
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
그림자조명 12
57.1%
비상벨 9
42.9%

Length

2023-12-11T02:09:49.271070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:09:49.442957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
그림자조명 12
57.1%
비상벨 9
42.9%

위치
Text

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-11T02:09:49.707523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length25.571429
Min length20

Characters and Unicode

Total characters537
Distinct characters54
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)81.0%

Sample

1st row부산광역시 남구 유엔로 169번길 32(대연1동)
2nd row부산과역시 남구 동명로92번길 58(용호4동)
3rd row부산광역시 남구 신선로 338번길 26(용당동)
4th row부산광역시 남구 양지골로 248(감만2동)
5th row부산광역시 남구 우암동 127-44(우암동)
ValueCountFrequency (%)
남구 21
23.9%
부산광역시 20
22.7%
26(용당동 2
 
2.3%
동명로92번길 2
 
2.3%
32(대연1동 2
 
2.3%
31(문현동 2
 
2.3%
58(용호4동 2
 
2.3%
황령대로352번가길 2
 
2.3%
신선로 2
 
2.3%
24(대연3동 2
 
2.3%
Other values (29) 31
35.2%
2023-12-11T02:09:50.307859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
 
12.5%
동 27
 
5.0%
산 22
 
4.1%
구 21
 
3.9%
) 21
 
3.9%
( 21
 
3.9%
2 21
 
3.9%
부 21
 
3.9%
남 21
 
3.9%
시 21
 
3.9%
Other values (44) 274
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 320
59.6%
Decimal Number 105
 
19.6%
Space Separator 67
 
12.5%
Close Punctuation 21
 
3.9%
Open Punctuation 21
 
3.9%
Dash Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 27
 
8.4%
산 22
 
6.9%
구 21
 
6.6%
부 21
 
6.6%
남 21
 
6.6%
시 21
 
6.6%
역 21
 
6.6%
광 20
 
6.2%
로 19
 
5.9%
길 16
 
5.0%
Other values (30) 111
34.7%
Decimal Number
ValueCountFrequency (%)
2 21
20.0%
1 19
18.1%
4 14
13.3%
3 14
13.3%
9 8
 
7.6%
8 8
 
7.6%
7 7
 
6.7%
5 6
 
5.7%
6 5
 
4.8%
0 3
 
2.9%
Space Separator
ValueCountFrequency (%)
67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 320
59.6%
Common 217
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 27
 
8.4%
산 22
 
6.9%
구 21
 
6.6%
부 21
 
6.6%
남 21
 
6.6%
시 21
 
6.6%
역 21
 
6.6%
광 20
 
6.2%
로 19
 
5.9%
길 16
 
5.0%
Other values (30) 111
34.7%
Common
ValueCountFrequency (%)
67
30.9%
) 21
 
9.7%
( 21
 
9.7%
2 21
 
9.7%
1 19
 
8.8%
4 14
 
6.5%
3 14
 
6.5%
9 8
 
3.7%
8 8
 
3.7%
7 7
 
3.2%
Other values (4) 17
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 320
59.6%
ASCII 217
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
30.9%
) 21
 
9.7%
( 21
 
9.7%
2 21
 
9.7%
1 19
 
8.8%
4 14
 
6.5%
3 14
 
6.5%
9 8
 
3.7%
8 8
 
3.7%
7 7
 
3.2%
Other values (4) 17
 
7.8%
Hangul
ValueCountFrequency (%)
동 27
 
8.4%
산 22
 
6.9%
구 21
 
6.6%
부 21
 
6.6%
남 21
 
6.6%
시 21
 
6.6%
역 21
 
6.6%
광 20
 
6.2%
로 19
 
5.9%
길 16
 
5.0%
Other values (30) 111
34.7%

위도
Real number (ℝ)

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.130644
Minimum35.115964
Maximum35.146686
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T02:09:50.502257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.115964
5-th percentile35.11622
Q135.125609
median35.131617
Q335.138782
95-th percentile35.146355
Maximum35.146686
Range0.03072247
Interquartile range (IQR)0.0131735

Descriptive statistics

Standard deviation0.01007824
Coefficient of variation (CV)0.00028687888
Kurtosis-0.90691264
Mean35.130644
Median Absolute Deviation (MAD)0.00716494
Skewness0.06778722
Sum737.74352
Variance0.00010157092
MonotonicityNot monotonic
2023-12-11T02:09:50.701117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
35.13161716 2
 
9.5%
35.12833154 2
 
9.5%
35.1387821 2
 
9.5%
35.11680468 2
 
9.5%
35.1463554 2
 
9.5%
35.13111977 1
 
4.8%
35.1422512 1
 
4.8%
35.1466864 1
 
4.8%
35.1256086 1
 
4.8%
35.1162199 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
35.11596393 1
4.8%
35.1162199 1
4.8%
35.11680468 2
9.5%
35.11907373 1
4.8%
35.1256086 1
4.8%
35.12563216 1
4.8%
35.12833154 2
9.5%
35.13111977 1
4.8%
35.13161716 2
9.5%
35.1321203 1
4.8%
ValueCountFrequency (%)
35.1466864 1
4.8%
35.1463554 2
9.5%
35.1422512 1
4.8%
35.1387821 2
9.5%
35.13277403 1
4.8%
35.13228402 1
4.8%
35.1321203 1
4.8%
35.13161716 2
9.5%
35.13111977 1
4.8%
35.12833154 2
9.5%

경도
Real number (ℝ)

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.08828
Minimum129.06735
Maximum129.10706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-11T02:09:50.875199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.06735
5-th percentile129.06831
Q1129.07427
median129.09345
Q3129.09805
95-th percentile129.10706
Maximum129.10706
Range0.0397156
Interquartile range (IQR)0.0237805

Descriptive statistics

Standard deviation0.013207202
Coefficient of variation (CV)0.0001023114
Kurtosis-1.3405129
Mean129.08828
Median Absolute Deviation (MAD)0.0125892
Skewness-0.15857778
Sum2710.8538
Variance0.00017443019
MonotonicityNot monotonic
2023-12-11T02:09:51.032161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
129.1070616 3
14.3%
129.0742694 2
 
9.5%
129.0728706 2
 
9.5%
129.094933 2
 
9.5%
129.0980499 1
 
4.8%
129.067346 1
 
4.8%
129.068313 1
 
4.8%
129.077784 1
 
4.8%
129.080858 1
 
4.8%
129.096536 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
129.067346 1
4.8%
129.068313 1
4.8%
129.0728706 2
9.5%
129.0742694 2
9.5%
129.077784 1
4.8%
129.080858 1
4.8%
129.0854364 1
4.8%
129.0878605 1
4.8%
129.0934472 1
4.8%
129.0948856 1
4.8%
ValueCountFrequency (%)
129.1070616 3
14.3%
129.099876 1
 
4.8%
129.0980524 1
 
4.8%
129.0980499 1
 
4.8%
129.096536 1
 
4.8%
129.094933 2
9.5%
129.0948856 1
 
4.8%
129.0934472 1
 
4.8%
129.0878605 1
 
4.8%
129.0854364 1
 
4.8%

Interactions

2023-12-11T02:09:48.650756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:09:48.422573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:09:48.770288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:09:48.549608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:09:51.135568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분위치위도경도
구분1.0000.0000.1530.379
위치0.0001.0001.0001.000
위도0.1531.0001.0000.809
경도0.3791.0000.8091.000
2023-12-11T02:09:51.258091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분
위도1.000-0.2550.000
경도-0.2551.0000.000
구분0.0000.0001.000

Missing values

2023-12-11T02:09:48.954596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:09:49.107483image/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

구분위치위도경도
0비상벨부산광역시 남구 유엔로 169번길 32(대연1동)35.131617129.107062
1비상벨부산과역시 남구 동명로92번길 58(용호4동)35.116805129.107062
2비상벨부산광역시 남구 신선로 338번길 26(용당동)35.125632129.087861
3비상벨부산광역시 남구 양지골로 248(감만2동)35.119074129.085436
4비상벨부산광역시 남구 우암동 127-44(우암동)35.128332129.074269
5비상벨부산광역시 남구 고동골로18번길 31(문현동)35.138782129.072871
6그림자조명부산광역시 남구 유엔평화로29번길 139(대연동)35.132284129.099876
7그림자조명부산광역시 남구 유엔로169번길 32(대연1동)35.131617129.094886
8그림자조명부산광역시 남구 동명로92번길 58(용호4동)35.116805129.107062
9그림자조명부산광역시 남구 신선로 337번길 26(용당동)35.115964129.093447
구분위치위도경도
11그림자조명부산광역시 남구 고동골로 18번길 31(문현동)35.138782129.072871
12그림자조명부산광역시 남구 유엔로157번가길 57(대연1동)35.132774129.096536
13그림자조명부산광역시 남구 유엔로201번길 43(대연1동)35.13212129.098052
14그림자조명부산광역시 남구 유엔평화로41번길 108(대연1동)35.13112129.09805
15그림자조명부산광역시 남구 황령대로352번가길 24(대연3동)35.146355129.094933
16비상벨부산광역시 남구 황령대로352번가길 24(대연3동)35.146355129.094933
17그림자조명부산광역시 남구 우암로 67-9(감만1동)35.11622129.080858
18비상벨부산광역시 남구 당산로 24(우암동)35.125609129.077784
19그림자조명부산광역시 남구 전포대로92번나길 40(문현2동)35.146686129.068313
20비상벨부산광역시 남구 전포대로48번길 27(문현2동)35.142251129.067346