Overview

Dataset statistics

Number of variables3
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory27.5 B

Variable types

Numeric1
Text1
DateTime1

Dataset

Description부산광역시_수영구_불법주정차단속CCTV설치위치_20220824
Author부산광역시 수영구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15040374

Alerts

연번 has unique valuesUnique
설치 운영지역 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:56:57.989091
Analysis finished2023-12-10 16:56:58.629143
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.5
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-11T01:56:58.745363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.55
Q113.75
median26.5
Q339.25
95-th percentile49.45
Maximum52
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.57187763
Kurtosis-1.2
Mean26.5
Median Absolute Deviation (MAD)13
Skewness0
Sum1378
Variance229.66667
MonotonicityStrictly increasing
2023-12-11T01:56:59.015102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
28 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%
43 1
1.9%

설치 운영지역
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T01:56:59.389446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length25.826923
Min length13

Characters and Unicode

Total characters1343
Distinct characters179
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row광안해변로15번길 54(남천1동 557 남천해변시장 앞)
2nd row수영로 464번길 6(남천1동 29-19 스타벅스 앞)
3rd row수영로 703(수영동 445-10 팔도시장입구)
4th row황령대로 521(남천동 545-2 메가마트입구)
5th row광안해변로 115(광남초등학교 사거리)
ValueCountFrequency (%)
앞 32
 
14.1%
수영로 7
 
3.1%
광남로 4
 
1.8%
사거리 4
 
1.8%
광안해변로 4
 
1.8%
민락수변로 3
 
1.3%
광안해변로326번길 3
 
1.3%
부산은행 2
 
0.9%
정문 2
 
0.9%
50(광안자이아파트 2
 
0.9%
Other values (156) 164
72.2%
2023-12-11T01:57:00.048353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
 
13.0%
1 60
 
4.5%
( 52
 
3.9%
) 52
 
3.9%
로 52
 
3.9%
2 46
 
3.4%
동 45
 
3.4%
광 38
 
2.8%
앞 36
 
2.7%
3 30
 
2.2%
Other values (169) 757
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 748
55.7%
Decimal Number 287
 
21.4%
Space Separator 175
 
13.0%
Open Punctuation 52
 
3.9%
Close Punctuation 52
 
3.9%
Dash Punctuation 21
 
1.6%
Uppercase Letter 6
 
0.4%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 52
 
7.0%
동 45
 
6.0%
광 38
 
5.1%
앞 36
 
4.8%
안 30
 
4.0%
수 29
 
3.9%
번 22
 
2.9%
남 21
 
2.8%
길 20
 
2.7%
변 19
 
2.5%
Other values (148) 436
58.3%
Decimal Number
ValueCountFrequency (%)
1 60
20.9%
2 46
16.0%
3 30
10.5%
6 29
10.1%
5 26
9.1%
0 26
9.1%
4 25
8.7%
9 20
 
7.0%
7 16
 
5.6%
8 9
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
16.7%
K 1
16.7%
R 1
16.7%
M 1
16.7%
C 1
16.7%
B 1
16.7%
Space Separator
ValueCountFrequency (%)
175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 748
55.7%
Common 587
43.7%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 52
 
7.0%
동 45
 
6.0%
광 38
 
5.1%
앞 36
 
4.8%
안 30
 
4.0%
수 29
 
3.9%
번 22
 
2.9%
남 21
 
2.8%
길 20
 
2.7%
변 19
 
2.5%
Other values (148) 436
58.3%
Common
ValueCountFrequency (%)
175
29.8%
1 60
 
10.2%
( 52
 
8.9%
) 52
 
8.9%
2 46
 
7.8%
3 30
 
5.1%
6 29
 
4.9%
5 26
 
4.4%
0 26
 
4.4%
4 25
 
4.3%
Other values (4) 66
 
11.2%
Latin
ValueCountFrequency (%)
e 2
25.0%
S 1
12.5%
K 1
12.5%
R 1
12.5%
M 1
12.5%
C 1
12.5%
B 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 748
55.7%
ASCII 595
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
29.4%
1 60
 
10.1%
( 52
 
8.7%
) 52
 
8.7%
2 46
 
7.7%
3 30
 
5.0%
6 29
 
4.9%
5 26
 
4.4%
0 26
 
4.4%
4 25
 
4.2%
Other values (11) 74
12.4%
Hangul
ValueCountFrequency (%)
로 52
 
7.0%
동 45
 
6.0%
광 38
 
5.1%
앞 36
 
4.8%
안 30
 
4.0%
수 29
 
3.9%
번 22
 
2.9%
남 21
 
2.8%
길 20
 
2.7%
변 19
 
2.5%
Other values (148) 436
58.3%

설치일자
Date

Distinct31
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2008-11-01 00:00:00
Maximum2022-08-01 00:00:00
2023-12-11T01:57:00.340016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:00.549304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

Interactions

2023-12-11T01:56:58.260850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:57:00.703298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치 운영지역설치일자
연번1.0001.0000.958
설치 운영지역1.0001.0001.000
설치일자0.9581.0001.000

Missing values

2023-12-11T01:56:58.451223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:56:58.574076image/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

연번설치 운영지역설치일자
01광안해변로15번길 54(남천1동 557 남천해변시장 앞)2008-11-01
12수영로 464번길 6(남천1동 29-19 스타벅스 앞)2008-11-01
23수영로 703(수영동 445-10 팔도시장입구)2010-06-01
34황령대로 521(남천동 545-2 메가마트입구)2010-06-01
45광안해변로 115(광남초등학교 사거리)2011-05-01
56남천동로 106(남천2동 6-11 수영구청 밑)2012-07-01
67남천바다로 26(남천2동 세흥시장 사거리)2012-07-01
78광남로 48(남천2동 3-20 부산은행 앞)2013-07-01
89수영로 712(광안3동 50-1 수영R 해운대방향)2013-07-01
910광남로 206(민락동 162-9 동방오거리)2013-07-01
연번설치 운영지역설치일자
4243광안해변로326번길 10앞(e편한세상오션테라스 1단지 104동 앞)2019-12-01
4344민락수변로 129 앞(수변공원2호 공중화장실 앞 삼거리)2020-10-01
4445호암로 45(광안에일린의 뜰)2021-04-01
4546광안해변로54번길 222(광안해양레포츠센터)2021-06-01
4647수영로 520(초이스안경 앞)2021-08-01
4748민락수변로17번길 36(타워모트트 광안)2021-11-01
4849수영동 331-1(수영사적공원 앞)2022-01-22
4950수영동 316-1(도도어울림센터 앞)2022-01-22
5051남천서로 14(남천초등학교 정문)2022-08-01
5152광남로 258(민락초등학교 부근)2022-08-01