Overview

Dataset statistics

Number of variables4
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory34.3 B

Variable types

Categorical3
Text1

Dataset

Description부산광역시 영도구 관내에 위치한 주민 자율게시판에 대한 자료로서 설치동, 소재지, 설치주관 및 기준일자에 대한 내용을 제공합니다
Author부산광역시 영도구
URLhttps://www.data.go.kr/data/15039876/fileData.do

Alerts

기준일자 has constant value ""Constant
설치주관 is highly imbalanced (72.5%)Imbalance
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:41:32.225695
Analysis finished2023-12-12 02:41:32.540611
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치동
Categorical

Distinct11
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
신선동
13 
동삼1동
13 
봉래2동
8 
남항동
5 
청학1동
5 
Other values (6)
13 

Length

Max length4
Median length4
Mean length3.6842105
Min length3

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
신선동 13
22.8%
동삼1동 13
22.8%
봉래2동 8
14.0%
남항동 5
 
8.8%
청학1동 5
 
8.8%
영선2동 3
 
5.3%
청학2동 3
 
5.3%
봉래1동 2
 
3.5%
동삼2동 2
 
3.5%
동삼3동 2
 
3.5%

Length

2023-12-12T11:41:32.610615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신선동 13
22.8%
동삼1동 13
22.8%
봉래2동 8
14.0%
남항동 5
 
8.8%
청학1동 5
 
8.8%
영선2동 3
 
5.3%
청학2동 3
 
5.3%
봉래1동 2
 
3.5%
동삼2동 2
 
3.5%
동삼3동 2
 
3.5%

소재지
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T11:41:32.885255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length17.982456
Min length7

Characters and Unicode

Total characters1025
Distinct characters197
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

Unique57 ?
Unique (%)100.0%

Sample

1st row한전 후문 담벽(남항남로9번길 52)
2nd row무궁화맨션 옆 대성콤푸렛샤 담벽(남항남로19번길 42)
3rd row제3영도교회 담벽(남항서로 16)
4th row부산은행 본점 주차장 담벽(태종로 84)
5th row다이소 안쪽 골목(절영로29번길 24)
ValueCountFrequency (%)
맞은편 8
 
4.2%
옆 5
 
2.6%
앞 5
 
2.6%
입구 4
 
2.1%
주차장 2
 
1.0%
시영아파트 2
 
1.0%
1 2
 
1.0%
6 2
 
1.0%
16 2
 
1.0%
21 2
 
1.0%
Other values (158) 158
82.3%
2023-12-12T11:41:33.305607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
 
13.3%
) 46
 
4.5%
( 46
 
4.5%
길 32
 
3.1%
1 29
 
2.8%
로 26
 
2.5%
동 20
 
2.0%
3 18
 
1.8%
2 16
 
1.6%
5 15
 
1.5%
Other values (187) 641
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 654
63.8%
Space Separator 136
 
13.3%
Decimal Number 135
 
13.2%
Close Punctuation 46
 
4.5%
Open Punctuation 46
 
4.5%
Dash Punctuation 4
 
0.4%
Uppercase Letter 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 32
 
4.9%
로 26
 
4.0%
동 20
 
3.1%
앞 15
 
2.3%
은 13
 
2.0%
옆 13
 
2.0%
영 13
 
2.0%
맞 12
 
1.8%
편 12
 
1.8%
리 12
 
1.8%
Other values (169) 486
74.3%
Decimal Number
ValueCountFrequency (%)
1 29
21.5%
3 18
13.3%
2 16
11.9%
5 15
11.1%
4 13
9.6%
7 12
8.9%
9 10
 
7.4%
8 10
 
7.4%
6 6
 
4.4%
0 6
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
T 1
25.0%
P 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
136
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 654
63.8%
Common 367
35.8%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 32
 
4.9%
로 26
 
4.0%
동 20
 
3.1%
앞 15
 
2.3%
은 13
 
2.0%
옆 13
 
2.0%
영 13
 
2.0%
맞 12
 
1.8%
편 12
 
1.8%
리 12
 
1.8%
Other values (169) 486
74.3%
Common
ValueCountFrequency (%)
136
37.1%
) 46
 
12.5%
( 46
 
12.5%
1 29
 
7.9%
3 18
 
4.9%
2 16
 
4.4%
5 15
 
4.1%
4 13
 
3.5%
7 12
 
3.3%
9 10
 
2.7%
Other values (4) 26
 
7.1%
Latin
ValueCountFrequency (%)
B 1
25.0%
T 1
25.0%
P 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 654
63.8%
ASCII 371
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
36.7%
) 46
 
12.4%
( 46
 
12.4%
1 29
 
7.8%
3 18
 
4.9%
2 16
 
4.3%
5 15
 
4.0%
4 13
 
3.5%
7 12
 
3.2%
9 10
 
2.7%
Other values (8) 30
 
8.1%
Hangul
ValueCountFrequency (%)
길 32
 
4.9%
로 26
 
4.0%
동 20
 
3.1%
앞 15
 
2.3%
은 13
 
2.0%
옆 13
 
2.0%
영 13
 
2.0%
맞 12
 
1.8%
편 12
 
1.8%
리 12
 
1.8%
Other values (169) 486
74.3%

설치주관
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
영도구
52 
새마을금고
 
3
(사)아름다운부산
 
1
영진교회
 
1

Length

Max length9
Median length3
Mean length3.2280702
Min length3

Unique

Unique2 ?
Unique (%)3.5%

Sample

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

Common Values

ValueCountFrequency (%)
영도구 52
91.2%
새마을금고 3
 
5.3%
(사)아름다운부산 1
 
1.8%
영진교회 1
 
1.8%

Length

2023-12-12T11:41:33.484781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:41:33.583352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영도구 52
91.2%
새마을금고 3
 
5.3%
사)아름다운부산 1
 
1.8%
영진교회 1
 
1.8%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-09-15
57 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-15
2nd row2023-09-15
3rd row2023-09-15
4th row2023-09-15
5th row2023-09-15

Common Values

ValueCountFrequency (%)
2023-09-15 57
100.0%

Length

2023-12-12T11:41:33.704388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:41:33.795658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-15 57
100.0%

Correlations

2023-12-12T11:41:33.868917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치동소재지설치주관
설치동1.0001.0000.229
소재지1.0001.0001.000
설치주관0.2291.0001.000
2023-12-12T11:41:33.992583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치주관설치동
설치주관1.0000.118
설치동0.1181.000
2023-12-12T11:41:34.093681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치동설치주관
설치동1.0000.118
설치주관0.1181.000

Missing values

2023-12-12T11:41:32.401366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:41:32.499110image/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

설치동소재지설치주관기준일자
0남항동한전 후문 담벽(남항남로9번길 52)영도구2023-09-15
1남항동무궁화맨션 옆 대성콤푸렛샤 담벽(남항남로19번길 42)영도구2023-09-15
2남항동제3영도교회 담벽(남항서로 16)영도구2023-09-15
3남항동부산은행 본점 주차장 담벽(태종로 84)영도구2023-09-15
4남항동다이소 안쪽 골목(절영로29번길 24)영도구2023-09-15
5영선1동강남병원 앞(꿈나무길 183)영도구2023-09-15
6영선2동남항초후문 담벽(남항새싹길 58 맞은편)영도구2023-09-15
7영선2동이송도삼거리 절영페인트 맞은편 (절영로 200-1)영도구2023-09-15
8영선2동대원APT 옆 꿈나무유치원 앞(에움길 257)영도구2023-09-15
9신선동신선동배수지 입구(중복길 538)영도구2023-09-15
설치동소재지설치주관기준일자
47동삼1동동삼삼거리 남해건재 옹벽아래영도구2023-09-15
48동삼1동태종대성당 담벽(동삼서로 21)영도구2023-09-15
49동삼1동동산파크타운 1동 경비실영도구2023-09-15
50동삼1동중앙감리교회 후문담벽(절영로 513-35)영도구2023-09-15
51동삼1동중앙어린이집앞 담벽(웃서발로51번길 7)영도구2023-09-15
52동삼1동태종파크맨션 담벽(웃서발로 15)영도구2023-09-15
53동삼2동이화모텔 옆(태종로 789)영도구2023-09-15
54동삼2동다도해아트타운 앞(본산길 16)영도구2023-09-15
55동삼3동주공2단지 입구 맞은편(상리로 1)영도구2023-09-15
56동삼3동상리초등학교 입구영도구2023-09-15