Overview

Dataset statistics

Number of variables6
Number of observations105
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory50.3 B

Variable types

Numeric1
Categorical4
Text1

Dataset

Description서울특별시 용산구 그늘막 현황(자치구명, 행정동, 서울특별시 용산구 설치장소, 그늘막 구분, 그늘막 지름 )에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15090620/fileData.do

Alerts

자치구 has constant value ""Constant
연번 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 연번High correlation
그늘막구분 is highly overall correlated with 그늘막지름High correlation
그늘막지름 is highly overall correlated with 그늘막구분High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:02:51.569877
Analysis finished2023-12-12 19:02:52.379394
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53
Minimum1
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T04:02:52.505751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.2
Q127
median53
Q379
95-th percentile99.8
Maximum105
Range104
Interquartile range (IQR)52

Descriptive statistics

Standard deviation30.454885
Coefficient of variation (CV)0.57462047
Kurtosis-1.2
Mean53
Median Absolute Deviation (MAD)26
Skewness0
Sum5565
Variance927.5
MonotonicityStrictly increasing
2023-12-13T04:02:52.720352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
80 1
 
1.0%
78 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
Other values (95) 95
90.5%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
105 1
1.0%
104 1
1.0%
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%

자치구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
용산구
105 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
용산구 105
100.0%

Length

2023-12-13T04:02:52.923795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:53.065117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용산구 105
100.0%

행정동
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size972.0 B
한강로동
25 
한남동
17 
공원
8 
이태원1동
7 
남영동
7 
Other values (12)
41 

Length

Max length5
Median length4
Mean length3.6666667
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row후암동
2nd row후암동
3rd row후암동
4th row후암동
5th row용산2가동

Common Values

ValueCountFrequency (%)
한강로동 25
23.8%
한남동 17
16.2%
공원 8
 
7.6%
이태원1동 7
 
6.7%
남영동 7
 
6.7%
서빙고동 5
 
4.8%
원효로2동 5
 
4.8%
용문동 5
 
4.8%
청파동 4
 
3.8%
후암동 4
 
3.8%
Other values (7) 18
17.1%

Length

2023-12-13T04:02:53.200984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한강로동 25
23.8%
한남동 17
16.2%
공원 8
 
7.6%
이태원1동 7
 
6.7%
남영동 7
 
6.7%
서빙고동 5
 
4.8%
원효로2동 5
 
4.8%
용문동 5
 
4.8%
원효로1동 4
 
3.8%
청파동 4
 
3.8%
Other values (7) 18
17.1%

설치장소
Text

Distinct99
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size972.0 B
2023-12-13T04:02:53.484076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length29.647619
Min length17

Characters and Unicode

Total characters3113
Distinct characters223
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

Unique94 ?
Unique (%)89.5%

Sample

1st row서울특별시 용산구 후암로 47 파리바게트 앞 횡단보도
2nd row서울특별시 용산구 후암로 51 앞 횡단보도
3rd row서울특별시 용산구 소월로 109 남산도서관 맞은편 횡단보도
4th row서울특별시 용산구 신흥로 152 건너편 교통섬
5th row서울특별시 용산구 해방촌 입구 횡단보도 교통섬
ValueCountFrequency (%)
용산구 106
 
16.0%
서울특별시 105
 
15.9%
앞 61
 
9.2%
횡단보도 44
 
6.7%
교통섬 23
 
3.5%
옆 9
 
1.4%
한강대로 8
 
1.2%
맞은편 7
 
1.1%
서빙고로 6
 
0.9%
출구 6
 
0.9%
Other values (202) 286
43.3%
2023-12-13T04:02:53.893286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
573
 
18.4%
구 135
 
4.3%
서 119
 
3.8%
산 119
 
3.8%
용 117
 
3.8%
시 108
 
3.5%
특 105
 
3.4%
별 105
 
3.4%
울 105
 
3.4%
1 81
 
2.6%
Other values (213) 1546
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2138
68.7%
Space Separator 573
 
18.4%
Decimal Number 302
 
9.7%
Open Punctuation 35
 
1.1%
Close Punctuation 35
 
1.1%
Dash Punctuation 22
 
0.7%
Uppercase Letter 5
 
0.2%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 135
 
6.3%
서 119
 
5.6%
산 119
 
5.6%
용 117
 
5.5%
시 108
 
5.1%
특 105
 
4.9%
별 105
 
4.9%
울 105
 
4.9%
로 69
 
3.2%
앞 68
 
3.2%
Other values (191) 1088
50.9%
Decimal Number
ValueCountFrequency (%)
1 81
26.8%
2 39
12.9%
3 36
11.9%
4 30
 
9.9%
7 24
 
7.9%
0 23
 
7.6%
6 18
 
6.0%
5 18
 
6.0%
9 17
 
5.6%
8 16
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
G 1
20.0%
B 1
20.0%
M 1
20.0%
W 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 33
94.3%
[ 2
 
5.7%
Close Punctuation
ValueCountFrequency (%)
) 33
94.3%
] 2
 
5.7%
Space Separator
ValueCountFrequency (%)
573
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2138
68.7%
Common 970
31.2%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 135
 
6.3%
서 119
 
5.6%
산 119
 
5.6%
용 117
 
5.5%
시 108
 
5.1%
특 105
 
4.9%
별 105
 
4.9%
울 105
 
4.9%
로 69
 
3.2%
앞 68
 
3.2%
Other values (191) 1088
50.9%
Common
ValueCountFrequency (%)
573
59.1%
1 81
 
8.4%
2 39
 
4.0%
3 36
 
3.7%
( 33
 
3.4%
) 33
 
3.4%
4 30
 
3.1%
7 24
 
2.5%
0 23
 
2.4%
- 22
 
2.3%
Other values (7) 76
 
7.8%
Latin
ValueCountFrequency (%)
S 1
20.0%
G 1
20.0%
B 1
20.0%
M 1
20.0%
W 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2138
68.7%
ASCII 975
31.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
573
58.8%
1 81
 
8.3%
2 39
 
4.0%
3 36
 
3.7%
( 33
 
3.4%
) 33
 
3.4%
4 30
 
3.1%
7 24
 
2.5%
0 23
 
2.4%
- 22
 
2.3%
Other values (12) 81
 
8.3%
Hangul
ValueCountFrequency (%)
구 135
 
6.3%
서 119
 
5.6%
산 119
 
5.6%
용 117
 
5.5%
시 108
 
5.1%
특 105
 
4.9%
별 105
 
4.9%
울 105
 
4.9%
로 69
 
3.2%
앞 68
 
3.2%
Other values (191) 1088
50.9%

그늘막구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
접이식 고정형
69 
스마트
36 

Length

Max length7
Median length7
Mean length5.6285714
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row접이식 고정형
2nd row스마트
3rd row접이식 고정형
4th row접이식 고정형
5th row스마트

Common Values

ValueCountFrequency (%)
접이식 고정형 69
65.7%
스마트 36
34.3%

Length

2023-12-13T04:02:54.038825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:54.152391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
접이식 69
39.7%
고정형 69
39.7%
스마트 36
20.7%

그늘막지름
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size972.0 B
5m
59 
4m
18 
5.4m
15 
3m
9 
3.5m
 
3

Length

Max length4
Median length2
Mean length2.3619048
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row5m
2nd row5m
3rd row5m
4th row5m
5th row5m

Common Values

ValueCountFrequency (%)
5m 59
56.2%
4m 18
 
17.1%
5.4m 15
 
14.3%
3m 9
 
8.6%
3.5m 3
 
2.9%
4.4m 1
 
1.0%

Length

2023-12-13T04:02:54.274803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:02:54.397509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5m 59
56.2%
4m 18
 
17.1%
5.4m 15
 
14.3%
3m 9
 
8.6%
3.5m 3
 
2.9%
4.4m 1
 
1.0%

Interactions

2023-12-13T04:02:51.972183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:02:54.485927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동설치장소그늘막구분그늘막지름
연번1.0000.9541.0000.2210.433
행정동0.9541.0001.0000.2640.575
설치장소1.0001.0001.0001.0001.000
그늘막구분0.2210.2641.0001.0000.794
그늘막지름0.4330.5751.0000.7941.000
2023-12-13T04:02:54.594947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
그늘막지름행정동그늘막구분
그늘막지름1.0000.2950.587
행정동0.2951.0000.216
그늘막구분0.5870.2161.000
2023-12-13T04:02:54.703401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동그늘막구분그늘막지름
연번1.0000.7670.1600.238
행정동0.7671.0000.2160.295
그늘막구분0.1600.2161.0000.587
그늘막지름0.2380.2950.5871.000

Missing values

2023-12-13T04:02:52.151324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:02:52.312807image/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

연번자치구행정동설치장소그늘막구분그늘막지름
01용산구후암동서울특별시 용산구 후암로 47 파리바게트 앞 횡단보도접이식 고정형5m
12용산구후암동서울특별시 용산구 후암로 51 앞 횡단보도스마트5m
23용산구후암동서울특별시 용산구 소월로 109 남산도서관 맞은편 횡단보도접이식 고정형5m
34용산구후암동서울특별시 용산구 신흥로 152 건너편 교통섬접이식 고정형5m
45용산구용산2가동서울특별시 용산구 해방촌 입구 횡단보도 교통섬스마트5m
56용산구남영동서울특별시 용산구 한강대로77길 4-1 앞 횡단보도접이식 고정형5m
67용산구남영동서울특별시 용산구 한강대로 259(고려빌딩) 앞 횡단보도접이식 고정형5m
78용산구남영동서울특별시 용산구 한강대로 298숙대입구역 2번 출구 앞 교통섬스마트3.5m
89용산구남영동서울특별시 용산구 숙대입구역 10번 출구 뒤 횡단보도접이식 고정형5m
910용산구남영동서울특별시 용산구 한강대로 366 앞 횡단보도접이식 고정형5m
연번자치구행정동설치장소그늘막구분그늘막지름
9596용산구공원서울특별시 용산구 효창공원(효창원로 177-18) 내 매점 앞접이식 고정형5m
9697용산구공원서울특별시 용산구 신계역사공원(청파로 139-25)접이식 고정형5m
9798용산구공원서울특별시 용산구 신계역사공원(청파로 139-25)접이식 고정형5m
9899용산구공원서울특별시 용산구 응봉근린공원(한남동 726-181) 관리사무소 옆접이식 고정형5m
99100용산구공원서울특별시 용산구 청파선린공원(청파동3가 118-56)접이식 고정형5m
100101용산구공원서울특별시 용산구 원효로 4가 113-39 원효대교 북단 교통섬 쉼터접이식 고정형5m
101102용산구공원서울특별시 용산구 원효로 4가 113-39 원효대교 북단 교통섬 쉼터접이식 고정형5m
102103용산구숙명여대서울특별시 용산구 숙명여대 제1 캠퍼스 광장 잔디밭접이식 고정형5m
103104용산구숙명여대서울특별시 용산구 숙명여대 제1 캠퍼스 광장 잔디밭접이식 고정형5m
104105용산구숙명여대서울특별시 용산구 숙명여대 제1 캠퍼스 광장 잔디밭접이식 고정형5m