Overview

Dataset statistics

Number of variables3
Number of observations49
Missing cells1
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory26.7 B

Variable types

Categorical1
Text2

Dataset

Description서울특별시 성동구 보도상 영업시설물 현황 자료입니다. 시설물명, 도로명주소, 점용지 상세정보 등의 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15064068/fileData.do

Alerts

점용지상세정보 has 1 (2.0%) missing valuesMissing
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:59:48.757640
Analysis finished2023-12-11 22:59:49.044103
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설물명
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
구두수선대
28 
가로판매대
21 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구두수선대
2nd row가로판매대
3rd row가로판매대
4th row구두수선대
5th row구두수선대

Common Values

ValueCountFrequency (%)
구두수선대 28
57.1%
가로판매대 21
42.9%

Length

2023-12-12T07:59:49.095822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:59:49.173563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구두수선대 28
57.1%
가로판매대 21
42.9%

도로명주소
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T07:59:49.400421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length19.714286
Min length17

Characters and Unicode

Total characters966
Distinct characters53
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row서울특별시 성동구 마조로 8-1
2nd row서울특별시 성동구 고산자로 340-1
3rd row서울특별시 성동구 왕십리로 324-1
4th row서울특별시 성동구 고산자로 206-1
5th row서울특별시 성동구 마조로 61-1
ValueCountFrequency (%)
서울특별시 49
25.0%
성동구 49
25.0%
왕십리로 9
 
4.6%
고산자로 6
 
3.1%
천호대로 6
 
3.1%
아차산로 4
 
2.0%
성수이로 3
 
1.5%
동호로 2
 
1.0%
46-1 2
 
1.0%
300-1 2
 
1.0%
Other values (58) 64
32.7%
2023-12-12T07:59:50.002275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
15.2%
1 61
 
6.3%
성 53
 
5.5%
동 53
 
5.5%
서 51
 
5.3%
시 51
 
5.3%
구 49
 
5.1%
- 49
 
5.1%
울 49
 
5.1%
별 49
 
5.1%
Other values (43) 354
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 583
60.4%
Decimal Number 187
 
19.4%
Space Separator 147
 
15.2%
Dash Punctuation 49
 
5.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 53
9.1%
동 53
9.1%
서 51
8.7%
시 51
8.7%
구 49
 
8.4%
울 49
 
8.4%
별 49
 
8.4%
특 49
 
8.4%
로 44
 
7.5%
호 10
 
1.7%
Other values (31) 125
21.4%
Decimal Number
ValueCountFrequency (%)
1 61
32.6%
2 30
16.0%
3 27
14.4%
0 20
 
10.7%
4 16
 
8.6%
6 12
 
6.4%
9 7
 
3.7%
7 6
 
3.2%
8 4
 
2.1%
5 4
 
2.1%
Space Separator
ValueCountFrequency (%)
147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 583
60.4%
Common 383
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 53
9.1%
동 53
9.1%
서 51
8.7%
시 51
8.7%
구 49
 
8.4%
울 49
 
8.4%
별 49
 
8.4%
특 49
 
8.4%
로 44
 
7.5%
호 10
 
1.7%
Other values (31) 125
21.4%
Common
ValueCountFrequency (%)
147
38.4%
1 61
15.9%
- 49
 
12.8%
2 30
 
7.8%
3 27
 
7.0%
0 20
 
5.2%
4 16
 
4.2%
6 12
 
3.1%
9 7
 
1.8%
7 6
 
1.6%
Other values (2) 8
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 583
60.4%
ASCII 383
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
38.4%
1 61
15.9%
- 49
 
12.8%
2 30
 
7.8%
3 27
 
7.0%
0 20
 
5.2%
4 16
 
4.2%
6 12
 
3.1%
9 7
 
1.8%
7 6
 
1.6%
Other values (2) 8
 
2.1%
Hangul
ValueCountFrequency (%)
성 53
9.1%
동 53
9.1%
서 51
8.7%
시 51
8.7%
구 49
 
8.4%
울 49
 
8.4%
별 49
 
8.4%
특 49
 
8.4%
로 44
 
7.5%
호 10
 
1.7%
Other values (31) 125
21.4%

점용지상세정보
Text

MISSING 

Distinct46
Distinct (%)95.8%
Missing1
Missing (%)2.0%
Memory size524.0 B
2023-12-12T07:59:50.226499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length18.791667
Min length14

Characters and Unicode

Total characters902
Distinct characters138
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

Unique44 ?
Unique (%)91.7%

Sample

1st row행당동 25-1(한대삼거리)
2nd row마장동 521-10 대해빌딩(국민은행앞)
3rd row도선동 58-5 전풍호텔옆
4th row행당동 319-36 무학빌딩앞
5th row마장동 335-4, 현대상가 앞
ValueCountFrequency (%)
용답동 8
 
5.3%
행당동 8
 
5.3%
성수2가3동 8
 
5.3%
마장동 5
 
3.3%
앞 4
 
2.7%
하왕십리동 3
 
2.0%
성수1가2동 3
 
2.0%
1331번지 2
 
1.3%
234-1 2
 
1.3%
금호동3가 2
 
1.3%
Other values (97) 105
70.0%
2023-12-12T07:59:50.646883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
 
11.4%
동 56
 
6.2%
1 50
 
5.5%
앞 42
 
4.7%
2 41
 
4.5%
- 40
 
4.4%
3 38
 
4.2%
성 22
 
2.4%
5 20
 
2.2%
6 19
 
2.1%
Other values (128) 471
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 498
55.2%
Decimal Number 232
25.7%
Space Separator 103
 
11.4%
Dash Punctuation 40
 
4.4%
Open Punctuation 13
 
1.4%
Close Punctuation 13
 
1.4%
Uppercase Letter 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 56
 
11.2%
앞 42
 
8.4%
성 22
 
4.4%
가 19
 
3.8%
수 17
 
3.4%
빌 16
 
3.2%
행 15
 
3.0%
딩 15
 
3.0%
번 13
 
2.6%
답 12
 
2.4%
Other values (111) 271
54.4%
Decimal Number
ValueCountFrequency (%)
1 50
21.6%
2 41
17.7%
3 38
16.4%
5 20
 
8.6%
6 19
 
8.2%
9 17
 
7.3%
4 15
 
6.5%
8 13
 
5.6%
0 13
 
5.6%
7 6
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 498
55.2%
Common 402
44.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 56
 
11.2%
앞 42
 
8.4%
성 22
 
4.4%
가 19
 
3.8%
수 17
 
3.4%
빌 16
 
3.2%
행 15
 
3.0%
딩 15
 
3.0%
번 13
 
2.6%
답 12
 
2.4%
Other values (111) 271
54.4%
Common
ValueCountFrequency (%)
103
25.6%
1 50
12.4%
2 41
 
10.2%
- 40
 
10.0%
3 38
 
9.5%
5 20
 
5.0%
6 19
 
4.7%
9 17
 
4.2%
4 15
 
3.7%
( 13
 
3.2%
Other values (5) 46
11.4%
Latin
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 498
55.2%
ASCII 404
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
25.5%
1 50
12.4%
2 41
 
10.1%
- 40
 
9.9%
3 38
 
9.4%
5 20
 
5.0%
6 19
 
4.7%
9 17
 
4.2%
4 15
 
3.7%
( 13
 
3.2%
Other values (7) 48
11.9%
Hangul
ValueCountFrequency (%)
동 56
 
11.2%
앞 42
 
8.4%
성 22
 
4.4%
가 19
 
3.8%
수 17
 
3.4%
빌 16
 
3.2%
행 15
 
3.0%
딩 15
 
3.0%
번 13
 
2.6%
답 12
 
2.4%
Other values (111) 271
54.4%

Correlations

2023-12-12T07:59:50.739120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설물명도로명주소점용지상세정보
시설물명1.0001.0000.698
도로명주소1.0001.0001.000
점용지상세정보0.6981.0001.000

Missing values

2023-12-12T07:59:48.952445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:59:49.018169image/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

시설물명도로명주소점용지상세정보
0구두수선대서울특별시 성동구 마조로 8-1행당동 25-1(한대삼거리)
1가로판매대서울특별시 성동구 고산자로 340-1마장동 521-10 대해빌딩(국민은행앞)
2가로판매대서울특별시 성동구 왕십리로 324-1도선동 58-5 전풍호텔옆
3구두수선대서울특별시 성동구 고산자로 206-1행당동 319-36 무학빌딩앞
4구두수선대서울특별시 성동구 마조로 61-1마장동 335-4, 현대상가 앞
5구두수선대서울특별시 성동구 고산자로 304-1마장동 518-19 동명빌딩앞
6가로판매대서울특별시 성동구 금호로 157-2금호동1가 125-1 신금호역 2번출구 앞
7구두수선대서울특별시 성동구 행당로 130-1행당동 319-9 무학여고앞
8구두수선대서울특별시 성동구 동호로 102-2금호동3가 1331번지 두산아파트앞
9구두수선대서울특별시 성동구 광나루로 294-1성수2가3동 280-44 세무타워(성동세무소앞)
시설물명도로명주소점용지상세정보
39구두수선대서울특별시 성동구 성수이로 101-1성수2가3동 315-1 심연빌딩(성수역3번출구앞)
40구두수선대서울특별시 성동구 광나루로 334-1성수2가3동 281-30 동부극장앞
41가로판매대서울특별시 성동구 천호대로 426-1용답동 233-6 현대자동차영업소앞
42구두수선대서울특별시 성동구 마장로19길 33-1상왕십리동 12-45 동일빌딩(기업은행앞)
43구두수선대서울특별시 성동구 왕십리로 357-1하왕십리동 946-12 리빠똥앞
44구두수선대서울특별시 성동구 마장로42길 12-1마장동 784-1 (마장동주민센터건너편)
45가로판매대서울특별시 성동구 왕십리로 116-1성수1가2동 656-297 삼환빌딩(LG25)
46가로판매대서울특별시 성동구 고산자로 200-1행당동 320-22 무학빌딩옆
47가로판매대서울특별시 성동구 독서당로 296-2금호동4가 567번지 연세치과앞
48구두수선대서울특별시 성동구 성덕정길 22-1성수동1가 110번지 천주교회앞