Overview

Dataset statistics

Number of variables4
Number of observations109
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory34.2 B

Variable types

Numeric1
Categorical2
Text1

Dataset

Description경상남도 김해시 그늘막 설치 현황에 대한 데이터로 연번, 읍면동, 설치장소(위치),그늘막지름(m) 항목을 제공합니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15092278/fileData.do

Alerts

연번 is highly overall correlated with 읍면동High correlation
읍면동 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:29:43.894730
Analysis finished2023-12-12 07:29:44.396240
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct109
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55
Minimum1
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T16:29:44.494828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.4
Q128
median55
Q382
95-th percentile103.6
Maximum109
Range108
Interquartile range (IQR)54

Descriptive statistics

Standard deviation31.609598
Coefficient of variation (CV)0.57471996
Kurtosis-1.2
Mean55
Median Absolute Deviation (MAD)27
Skewness0
Sum5995
Variance999.16667
MonotonicityStrictly increasing
2023-12-12T16:29:44.667493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
70 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
Other values (99) 99
90.8%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%

읍면동
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size1004.0 B
내외동
26 
북부동
18 
장유3동
18 
진영읍
17 
장유1동
8 
Other values (7)
22 

Length

Max length4
Median length3
Mean length3.293578
Min length3

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
내외동 26
23.9%
북부동 18
16.5%
장유3동 18
16.5%
진영읍 17
15.6%
장유1동 8
 
7.3%
주촌면 5
 
4.6%
활천동 5
 
4.6%
장유2동 4
 
3.7%
부원동 3
 
2.8%
한림면 2
 
1.8%
Other values (2) 3
 
2.8%

Length

2023-12-12T16:29:44.853507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
내외동 26
23.9%
북부동 18
16.5%
장유3동 18
16.5%
진영읍 17
15.6%
장유1동 8
 
7.3%
주촌면 5
 
4.6%
활천동 5
 
4.6%
장유2동 4
 
3.7%
부원동 3
 
2.8%
한림면 2
 
1.8%
Other values (2) 3
 
2.8%

설치장소(위치)
Text

Distinct101
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2023-12-12T16:29:45.419421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length23
Mean length15.119266
Min length4

Characters and Unicode

Total characters1648
Distinct characters196
Distinct categories9 ?
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 (%)86.2%

Sample

1st row진영 119소방센터 앞
2nd row우리은행 진영지점 앞
3rd row진영 코아루APT 앞
4th row진영 이진캐스빌 앞
5th row진영중학교 앞
ValueCountFrequency (%)
앞 52
 
16.4%
외동 10
 
3.2%
맞은편 9
 
2.8%
진영 8
 
2.5%
정문 7
 
2.2%
내동 6
 
1.9%
삼계동 6
 
1.9%
진영읍 5
 
1.6%
횡단보도 5
 
1.6%
선지리 4
 
1.3%
Other values (160) 205
64.7%
2023-12-12T16:29:45.855109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217
 
13.2%
1 78
 
4.7%
동 62
 
3.8%
앞 54
 
3.3%
( 49
 
3.0%
) 49
 
3.0%
리 44
 
2.7%
지 31
 
1.9%
진 29
 
1.8%
0 27
 
1.6%
Other values (186) 1008
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1003
60.9%
Decimal Number 270
 
16.4%
Space Separator 217
 
13.2%
Open Punctuation 49
 
3.0%
Close Punctuation 49
 
3.0%
Uppercase Letter 27
 
1.6%
Dash Punctuation 26
 
1.6%
Other Punctuation 5
 
0.3%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 62
 
6.2%
앞 54
 
5.4%
리 44
 
4.4%
지 31
 
3.1%
진 29
 
2.9%
영 26
 
2.6%
거 26
 
2.6%
스 24
 
2.4%
사 23
 
2.3%
이 21
 
2.1%
Other values (158) 663
66.1%
Uppercase Letter
ValueCountFrequency (%)
L 6
22.2%
G 4
14.8%
A 3
11.1%
K 2
 
7.4%
S 2
 
7.4%
C 2
 
7.4%
H 2
 
7.4%
T 2
 
7.4%
P 2
 
7.4%
I 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 78
28.9%
0 27
 
10.0%
2 26
 
9.6%
9 23
 
8.5%
6 23
 
8.5%
8 22
 
8.1%
4 21
 
7.8%
3 19
 
7.0%
7 16
 
5.9%
5 15
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
g 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
217
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1003
60.9%
Common 616
37.4%
Latin 29
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 62
 
6.2%
앞 54
 
5.4%
리 44
 
4.4%
지 31
 
3.1%
진 29
 
2.9%
영 26
 
2.6%
거 26
 
2.6%
스 24
 
2.4%
사 23
 
2.3%
이 21
 
2.1%
Other values (158) 663
66.1%
Common
ValueCountFrequency (%)
217
35.2%
1 78
 
12.7%
( 49
 
8.0%
) 49
 
8.0%
0 27
 
4.4%
- 26
 
4.2%
2 26
 
4.2%
9 23
 
3.7%
6 23
 
3.7%
8 22
 
3.6%
Other values (5) 76
 
12.3%
Latin
ValueCountFrequency (%)
L 6
20.7%
G 4
13.8%
A 3
10.3%
K 2
 
6.9%
S 2
 
6.9%
C 2
 
6.9%
H 2
 
6.9%
T 2
 
6.9%
P 2
 
6.9%
I 1
 
3.4%
Other values (3) 3
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1003
60.9%
ASCII 645
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217
33.6%
1 78
 
12.1%
( 49
 
7.6%
) 49
 
7.6%
0 27
 
4.2%
- 26
 
4.0%
2 26
 
4.0%
9 23
 
3.6%
6 23
 
3.6%
8 22
 
3.4%
Other values (18) 105
16.3%
Hangul
ValueCountFrequency (%)
동 62
 
6.2%
앞 54
 
5.4%
리 44
 
4.4%
지 31
 
3.1%
진 29
 
2.9%
영 26
 
2.6%
거 26
 
2.6%
스 24
 
2.4%
사 23
 
2.3%
이 21
 
2.1%
Other values (158) 663
66.1%

그늘막 지름(미터)
Categorical

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1004.0 B
4
61 
5
42 
3.5
 
4
스마트
 
2

Length

Max length3
Median length1
Mean length1.1100917
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
4 61
56.0%
5 42
38.5%
3.5 4
 
3.7%
스마트 2
 
1.8%

Length

2023-12-12T16:29:46.047123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:29:46.177617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 61
56.0%
5 42
38.5%
3.5 4
 
3.7%
스마트 2
 
1.8%

Interactions

2023-12-12T16:29:44.124044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:29:46.252033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동그늘막 지름(미터)
연번1.0000.8970.533
읍면동0.8971.0000.419
그늘막 지름(미터)0.5330.4191.000
2023-12-12T16:29:46.358575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
그늘막 지름(미터)읍면동
그늘막 지름(미터)1.0000.194
읍면동0.1941.000
2023-12-12T16:29:46.450307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동그늘막 지름(미터)
연번1.0000.6590.349
읍면동0.6591.0000.194
그늘막 지름(미터)0.3490.1941.000

Missing values

2023-12-12T16:29:44.241441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:29:44.351062image/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

연번읍면동설치장소(위치)그늘막 지름(미터)
01진영읍진영 119소방센터 앞5
12진영읍우리은행 진영지점 앞5
23진영읍진영 코아루APT 앞5
34진영읍진영 이진캐스빌 앞5
45진영읍진영중학교 앞5
56진영읍진영 자이APT 앞5
67진영읍LG 베스트 샵 진영점 앞5
78진영읍진영중앙초 앞4
89진영읍진영 이진캐스빌 앞4
910진영읍진영 이진캐스빌 앞4
연번읍면동설치장소(위치)그늘막 지름(미터)
99100장유3동장유동 1016(LH아파트 107동 맞은편, 율산초등학교 앞)3.5
100101장유3동장유동 849번지(모산초등학교 앞)4
101102장유3동율하동1340-2(정관장 앞)4
102103삼안동삼방동 733(영운초등학교 앞)4
103104연지공원연지공원5
104105연지공원연지공원5
105106장유1동부곡초 사거리(부곡동 800-4),4
106107장유1동장유고 사거리(부곡동 806-10)4
107108장유1동월산초 사거리(부곡동 1166-1)4
108109장유1동코아상가 사거리(무계동 156-2)4