Overview

Dataset statistics

Number of variables3
Number of observations59
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory27.2 B

Variable types

Numeric1
Text1
DateTime1

Dataset

Description부산광역시 수영구에 설치된 불법주정차 단속 CCTV 대수 및 설치 위치 자료로 불법주정차 CCTV 설치위치 주소 정보와 설치 해당년도 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15040374/fileData.do

Alerts

연번 has unique valuesUnique
설치 운영지역 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:17:41.828134
Analysis finished2023-12-12 06:17:42.209351
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-12T15:17:42.292631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.9
Q115.5
median30
Q344.5
95-th percentile56.1
Maximum59
Range58
Interquartile range (IQR)29

Descriptive statistics

Standard deviation17.175564
Coefficient of variation (CV)0.5725188
Kurtosis-1.2
Mean30
Median Absolute Deviation (MAD)15
Skewness0
Sum1770
Variance295
MonotonicityStrictly increasing
2023-12-12T15:17:42.460535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
2 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (49) 49
83.1%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%

설치 운영지역
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-12T15:17:42.723945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length25.966102
Min length13

Characters and Unicode

Total characters1532
Distinct characters184
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

Unique59 ?
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 33
 
12.8%
수영로 11
 
4.3%
인근 6
 
2.3%
사거리 5
 
1.9%
광안해변로 4
 
1.6%
광남로 4
 
1.6%
389(남천더샵프레스티지 4
 
1.6%
104동 3
 
1.2%
정문 3
 
1.2%
광안해변로326번길 3
 
1.2%
Other values (166) 182
70.5%
2023-12-12T15:17:43.183362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199
 
13.0%
1 66
 
4.3%
로 59
 
3.9%
) 59
 
3.9%
( 59
 
3.9%
동 51
 
3.3%
2 51
 
3.3%
광 40
 
2.6%
3 38
 
2.5%
앞 37
 
2.4%
Other values (174) 873
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 857
55.9%
Decimal Number 329
 
21.5%
Space Separator 199
 
13.0%
Close Punctuation 59
 
3.9%
Open Punctuation 59
 
3.9%
Dash Punctuation 21
 
1.4%
Uppercase Letter 6
 
0.4%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 59
 
6.9%
동 51
 
6.0%
광 40
 
4.7%
앞 37
 
4.3%
수 33
 
3.9%
안 32
 
3.7%
남 25
 
2.9%
번 24
 
2.8%
영 23
 
2.7%
길 22
 
2.6%
Other values (153) 511
59.6%
Decimal Number
ValueCountFrequency (%)
1 66
20.1%
2 51
15.5%
3 38
11.6%
0 33
10.0%
6 30
9.1%
4 28
8.5%
5 26
 
7.9%
9 24
 
7.3%
8 17
 
5.2%
7 16
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
K 1
16.7%
S 1
16.7%
B 1
16.7%
R 1
16.7%
M 1
16.7%
C 1
16.7%
Space Separator
ValueCountFrequency (%)
199
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 857
55.9%
Common 667
43.5%
Latin 8
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 59
 
6.9%
동 51
 
6.0%
광 40
 
4.7%
앞 37
 
4.3%
수 33
 
3.9%
안 32
 
3.7%
남 25
 
2.9%
번 24
 
2.8%
영 23
 
2.7%
길 22
 
2.6%
Other values (153) 511
59.6%
Common
ValueCountFrequency (%)
199
29.8%
1 66
 
9.9%
) 59
 
8.8%
( 59
 
8.8%
2 51
 
7.6%
3 38
 
5.7%
0 33
 
4.9%
6 30
 
4.5%
4 28
 
4.2%
5 26
 
3.9%
Other values (4) 78
 
11.7%
Latin
ValueCountFrequency (%)
e 2
25.0%
K 1
12.5%
S 1
12.5%
B 1
12.5%
R 1
12.5%
M 1
12.5%
C 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 857
55.9%
ASCII 675
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
199
29.5%
1 66
 
9.8%
) 59
 
8.7%
( 59
 
8.7%
2 51
 
7.6%
3 38
 
5.6%
0 33
 
4.9%
6 30
 
4.4%
4 28
 
4.1%
5 26
 
3.9%
Other values (11) 86
12.7%
Hangul
ValueCountFrequency (%)
로 59
 
6.9%
동 51
 
6.0%
광 40
 
4.7%
앞 37
 
4.3%
수 33
 
3.9%
안 32
 
3.7%
남 25
 
2.9%
번 24
 
2.8%
영 23
 
2.7%
길 22
 
2.6%
Other values (153) 511
59.6%

설치일자
Date

Distinct33
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2008-11-01 00:00:00
Maximum2023-05-14 00:00:00
2023-12-12T15:17:43.350729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:17:43.493812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

Interactions

2023-12-12T15:17:41.994365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:17:43.589900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치 운영지역설치일자
연번1.0001.0000.975
설치 운영지역1.0001.0001.000
설치일자0.9751.0001.000

Missing values

2023-12-12T15:17:42.106339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:17:42.179926image/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
4950수영동 316-1(도도어울림센터 앞)2022-01-22
5051남천서로 14(남천초등학교 정문)2022-08-01
5152광남로 258(민락초등학교 부근)2022-08-01
5253광안해변로284번길 38(해링턴타워 103동 인근)2022-12-22
5354광안해변로284번길 38(해링턴타워 101동 인근)2022-12-22
5455수영로 389(남천더샵프레스티지 104동 정문 인근)2022-12-22
5556수영로 389(남천더샵프레스티지 202동 인근)2022-12-22
5657수영로 389(남천더샵프레스티지 102동 인근)2022-12-22
5758수영로 389(남천더샵프레스티지 103동 인근)2022-12-22
5859무학로 60 일원(아우디 서비스센터 앞 사거리)2023-05-14