Overview

Dataset statistics

Number of variables6
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory52.1 B

Variable types

Numeric1
Categorical4
Text1

Dataset

Description부산광역시 사상구 관내 벽보게시대(벽보게시판)에 대한 현황(동별 게시대 설치현황, 설치장소, 설치유형, 현실태 등)을 안내 및 제공합니다.
URLhttps://www.data.go.kr/data/3078755/fileData.do

Alerts

현실태 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 동 별High correlation
동 별 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
설 치 장 소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:11:27.023127
Analysis finished2023-12-12 10:11:27.632756
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T19:11:27.754772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q111.5
median22
Q332.5
95-th percentile40.9
Maximum43
Range42
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.556539
Coefficient of variation (CV)0.57075176
Kurtosis-1.2
Mean22
Median Absolute Deviation (MAD)11
Skewness0
Sum946
Variance157.66667
MonotonicityStrictly increasing
2023-12-12T19:11:27.933963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 1
 
2.3%
2 1
 
2.3%
25 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%
34 1
2.3%

동 별
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Memory size476.0 B
괘법동
8 
모라1동
6 
학장동
6 
감전동
5 
덕포2동
4 
Other values (7)
14 

Length

Max length4
Median length3
Mean length3.4418605
Min length3

Unique

Unique3 ?
Unique (%)7.0%

Sample

1st row삼락동
2nd row모라1동
3rd row모라1동
4th row모라1동
5th row모라1동

Common Values

ValueCountFrequency (%)
괘법동 8
18.6%
모라1동 6
14.0%
학장동 6
14.0%
감전동 5
11.6%
덕포2동 4
9.3%
엄궁동 4
9.3%
주례3동 3
 
7.0%
덕포1동 2
 
4.7%
주례2동 2
 
4.7%
삼락동 1
 
2.3%
Other values (2) 2
 
4.7%

Length

2023-12-12T19:11:28.103769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
괘법동 8
18.6%
모라1동 6
14.0%
학장동 6
14.0%
감전동 5
11.6%
덕포2동 4
9.3%
엄궁동 4
9.3%
주례3동 3
 
7.0%
덕포1동 2
 
4.7%
주례2동 2
 
4.7%
삼락동 1
 
2.3%
Other values (2) 2
 
4.7%

설 치 장 소
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-12T19:11:28.406243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length15.255814
Min length6

Characters and Unicode

Total characters656
Distinct characters152
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row부산솔빛학교 담장
2nd row모라역 2번 출구(보불심인당 앞)
3rd row우신프라자 앞(우신아파트 입구)
4th row홈플러스 익스프레스 앞 건널목
5th row소방파출소 현수막게시대 옆(모라중 담벼락)
ValueCountFrequency (%)
앞 12
 
8.8%
입구 7
 
5.1%
옆 6
 
4.4%
출구 5
 
3.6%
삼거리 4
 
2.9%
건널목 4
 
2.9%
1번 3
 
2.2%
낙동대로 3
 
2.2%
현수막게시대 3
 
2.2%
사상터미널 3
 
2.2%
Other values (78) 87
63.5%
2023-12-12T19:11:28.999085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
14.9%
구 21
 
3.2%
( 16
 
2.4%
) 16
 
2.4%
앞 15
 
2.3%
트 13
 
2.0%
교 13
 
2.0%
입 12
 
1.8%
로 12
 
1.8%
학 12
 
1.8%
Other values (142) 428
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 505
77.0%
Space Separator 98
 
14.9%
Open Punctuation 16
 
2.4%
Close Punctuation 16
 
2.4%
Decimal Number 13
 
2.0%
Uppercase Letter 7
 
1.1%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 21
 
4.2%
앞 15
 
3.0%
트 13
 
2.6%
교 13
 
2.6%
입 12
 
2.4%
로 12
 
2.4%
학 12
 
2.4%
상 12
 
2.4%
장 12
 
2.4%
동 11
 
2.2%
Other values (127) 372
73.7%
Decimal Number
ValueCountFrequency (%)
1 6
46.2%
3 2
 
15.4%
0 2
 
15.4%
7 1
 
7.7%
2 1
 
7.7%
5 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
L 2
28.6%
G 2
28.6%
P 1
14.3%
C 1
14.3%
I 1
14.3%
Space Separator
ValueCountFrequency (%)
98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 505
77.0%
Common 144
 
22.0%
Latin 7
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 21
 
4.2%
앞 15
 
3.0%
트 13
 
2.6%
교 13
 
2.6%
입 12
 
2.4%
로 12
 
2.4%
학 12
 
2.4%
상 12
 
2.4%
장 12
 
2.4%
동 11
 
2.2%
Other values (127) 372
73.7%
Common
ValueCountFrequency (%)
98
68.1%
( 16
 
11.1%
) 16
 
11.1%
1 6
 
4.2%
3 2
 
1.4%
0 2
 
1.4%
7 1
 
0.7%
, 1
 
0.7%
2 1
 
0.7%
5 1
 
0.7%
Latin
ValueCountFrequency (%)
L 2
28.6%
G 2
28.6%
P 1
14.3%
C 1
14.3%
I 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 505
77.0%
ASCII 151
 
23.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
64.9%
( 16
 
10.6%
) 16
 
10.6%
1 6
 
4.0%
3 2
 
1.3%
0 2
 
1.3%
L 2
 
1.3%
G 2
 
1.3%
P 1
 
0.7%
C 1
 
0.7%
Other values (5) 5
 
3.3%
Hangul
ValueCountFrequency (%)
구 21
 
4.2%
앞 15
 
3.0%
트 13
 
2.6%
교 13
 
2.6%
입 12
 
2.4%
로 12
 
2.4%
학 12
 
2.4%
상 12
 
2.4%
장 12
 
2.4%
동 11
 
2.2%
Other values (127) 372
73.7%

유 형
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
F3
17 
F2
15 
F1
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF3
2nd rowF2
3rd rowF2
4th rowF2
5th rowF3

Common Values

ValueCountFrequency (%)
F3 17
39.5%
F2 15
34.9%
F1 11
25.6%

Length

2023-12-12T19:11:29.184124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:11:29.315819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
f3 17
39.5%
f2 15
34.9%
f1 11
25.6%

현실태
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
양호
43 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양호 43
100.0%

Length

2023-12-12T19:11:29.455791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:11:29.591687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양호 43
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-05-01
43 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-01
2nd row2023-05-01
3rd row2023-05-01
4th row2023-05-01
5th row2023-05-01

Common Values

ValueCountFrequency (%)
2023-05-01 43
100.0%

Length

2023-12-12T19:11:29.714120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:11:29.815054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-01 43
100.0%

Interactions

2023-12-12T19:11:27.276918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:11:29.887507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동 별설 치 장 소유 형
연번1.0000.9101.0000.334
동 별0.9101.0001.0000.207
설 치 장 소1.0001.0001.0001.000
유 형0.3340.2071.0001.000
2023-12-12T19:11:29.996701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유 형동 별
유 형1.0000.025
동 별0.0251.000
2023-12-12T19:11:30.094593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동 별유 형
연번1.0000.7000.220
동 별0.7001.0000.025
유 형0.2200.0251.000

Missing values

2023-12-12T19:11:27.426027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:11:27.571804image/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

연번동 별설 치 장 소유 형현실태데이터기준일
01삼락동부산솔빛학교 담장F3양호2023-05-01
12모라1동모라역 2번 출구(보불심인당 앞)F2양호2023-05-01
23모라1동우신프라자 앞(우신아파트 입구)F2양호2023-05-01
34모라1동홈플러스 익스프레스 앞 건널목F2양호2023-05-01
45모라1동소방파출소 현수막게시대 옆(모라중 담벼락)F3양호2023-05-01
56모라1동우성아파트 상가 담(107동 입구)F3양호2023-05-01
67모라1동우성아파트 앞(101동 입구)F3양호2023-05-01
78모라3동모라동 홈플러스 맞은편F3양호2023-05-01
89덕포1동사상초등학교 옆F2양호2023-05-01
910덕포1동신라대학교 입구(백양대로 건널목)F3양호2023-05-01
연번동 별설 치 장 소유 형현실태데이터기준일
3334학장동학장교차로 (구)세원 앞F2양호2023-05-01
3435학장동부산학장동우체국 앞F2양호2023-05-01
3536학장동도개공아파트 입구 버스정류장(구학초등학교)F3양호2023-05-01
3637학장동무학아파트 입구F3양호2023-05-01
3738학장동학장초등학교 담F3양호2023-05-01
3839학장동롯데마트 사상점 앞 (택시승강장)F1양호2023-05-01
3940엄궁동엄궁교차로(휴그린아파트 앞)F3양호2023-05-01
4041엄궁동낙동대로 엄궁행정복지센터 삼거리F1양호2023-05-01
4142엄궁동부산은행 엄궁동지점 앞(택시승강장)F2양호2023-05-01
4243엄궁동엄궁초등학교 진입로 삼거리 옹벽F3양호2023-05-01