Overview

Dataset statistics

Number of variables7
Number of observations55
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory60.4 B

Variable types

Numeric1
Text2
Categorical3
DateTime1

Dataset

Description경상남도 의령군 옥외광고현수막을 게시할 수 있는 게시대명과 위치, 게시대 형태, 규격 , 게시면 정보를 나타내는 데이터 입니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15031905

Alerts

규격 has constant value ""Constant
데이터기준일 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:45:13.497352
Analysis finished2023-12-11 00:45:14.195139
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T09:45:14.288409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.7
Q114.5
median28
Q341.5
95-th percentile52.3
Maximum55
Range54
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.02082
Coefficient of variation (CV)0.57217214
Kurtosis-1.2
Mean28
Median Absolute Deviation (MAD)14
Skewness0
Sum1540
Variance256.66667
MonotonicityStrictly increasing
2023-12-11T09:45:14.451275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
2 1
 
1.8%
31 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%
46 1
1.8%
Distinct53
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-11T09:45:14.694665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length17.690909
Min length14

Characters and Unicode

Total characters973
Distinct characters122
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)94.5%

Sample

1st row현수막 지정게시대(농산물종합유통센터 앞)
2nd row현수막 지정게시대(무전삼거리1)
3rd row현수막 지정게시대(의병사거리1)
4th row현수막 지정게시대(의병사거리2)
5th row현수막 지정게시대(시외버스터미널 1)
ValueCountFrequency (%)
현수막 55
37.4%
10
 
6.8%
입구 7
 
4.8%
지정게시대(면사무소 4
 
2.7%
4
 
2.7%
지정게시대(호암학습관 2
 
1.4%
지정게시대(의령농협 2
 
1.4%
지정게시대(시외버스터미널 2
 
1.4%
1 2
 
1.4%
2 2
 
1.4%
Other values (56) 57
38.8%
2023-12-11T09:45:15.143332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
 
9.5%
63
 
6.5%
60
 
6.2%
58
 
6.0%
56
 
5.8%
56
 
5.8%
55
 
5.7%
55
 
5.7%
55
 
5.7%
( 55
 
5.7%
Other values (112) 368
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 759
78.0%
Space Separator 92
 
9.5%
Open Punctuation 55
 
5.7%
Close Punctuation 55
 
5.7%
Decimal Number 12
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
63
 
8.3%
60
 
7.9%
58
 
7.6%
56
 
7.4%
56
 
7.4%
55
 
7.2%
55
 
7.2%
55
 
7.2%
12
 
1.6%
12
 
1.6%
Other values (107) 277
36.5%
Decimal Number
ValueCountFrequency (%)
2 6
50.0%
1 6
50.0%
Space Separator
ValueCountFrequency (%)
92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 759
78.0%
Common 214
 
22.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
63
 
8.3%
60
 
7.9%
58
 
7.6%
56
 
7.4%
56
 
7.4%
55
 
7.2%
55
 
7.2%
55
 
7.2%
12
 
1.6%
12
 
1.6%
Other values (107) 277
36.5%
Common
ValueCountFrequency (%)
92
43.0%
( 55
25.7%
) 55
25.7%
2 6
 
2.8%
1 6
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 759
78.0%
ASCII 214
 
22.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
43.0%
( 55
25.7%
) 55
25.7%
2 6
 
2.8%
1 6
 
2.8%
Hangul
ValueCountFrequency (%)
63
 
8.3%
60
 
7.9%
58
 
7.6%
56
 
7.4%
56
 
7.4%
55
 
7.2%
55
 
7.2%
55
 
7.2%
12
 
1.6%
12
 
1.6%
Other values (107) 277
36.5%
Distinct50
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-11T09:45:15.450636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.781818
Min length19

Characters and Unicode

Total characters1198
Distinct characters72
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

Unique45 ?
Unique (%)81.8%

Sample

1st row경상남도 의령군 의령읍 무전리 176-5
2nd row경상남도 의령군 의령읍 무전리 228-3
3rd row경상남도 의령군 의령읍 동동리 877-7
4th row경상남도 의령군 의령읍 동동리 877-7
5th row경상남도 의령군 의령읍 서동리 792-2
ValueCountFrequency (%)
경상남도 55
20.0%
의령군 55
20.0%
의령읍 14
 
5.1%
부림면 6
 
2.2%
서동리 6
 
2.2%
동동리 5
 
1.8%
정곡면 5
 
1.8%
궁류면 4
 
1.5%
유곡면 4
 
1.5%
무전리 3
 
1.1%
Other values (88) 118
42.9%
2023-12-11T09:45:15.919131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
18.4%
73
 
6.1%
69
 
5.8%
58
 
4.8%
55
 
4.6%
55
 
4.6%
55
 
4.6%
55
 
4.6%
54
 
4.5%
- 47
 
3.9%
Other values (62) 457
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 719
60.0%
Space Separator 220
 
18.4%
Decimal Number 212
 
17.7%
Dash Punctuation 47
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
73
 
10.2%
69
 
9.6%
58
 
8.1%
55
 
7.6%
55
 
7.6%
55
 
7.6%
55
 
7.6%
54
 
7.5%
41
 
5.7%
18
 
2.5%
Other values (50) 186
25.9%
Decimal Number
ValueCountFrequency (%)
2 35
16.5%
1 32
15.1%
3 28
13.2%
4 25
11.8%
9 20
9.4%
7 20
9.4%
5 17
8.0%
0 14
 
6.6%
6 12
 
5.7%
8 9
 
4.2%
Space Separator
ValueCountFrequency (%)
220
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 719
60.0%
Common 479
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
73
 
10.2%
69
 
9.6%
58
 
8.1%
55
 
7.6%
55
 
7.6%
55
 
7.6%
55
 
7.6%
54
 
7.5%
41
 
5.7%
18
 
2.5%
Other values (50) 186
25.9%
Common
ValueCountFrequency (%)
220
45.9%
- 47
 
9.8%
2 35
 
7.3%
1 32
 
6.7%
3 28
 
5.8%
4 25
 
5.2%
9 20
 
4.2%
7 20
 
4.2%
5 17
 
3.5%
0 14
 
2.9%
Other values (2) 21
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 719
60.0%
ASCII 479
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
220
45.9%
- 47
 
9.8%
2 35
 
7.3%
1 32
 
6.7%
3 28
 
5.8%
4 25
 
5.2%
9 20
 
4.2%
7 20
 
4.2%
5 17
 
3.5%
0 14
 
2.9%
Other values (2) 21
 
4.4%
Hangul
ValueCountFrequency (%)
73
 
10.2%
69
 
9.6%
58
 
8.1%
55
 
7.6%
55
 
7.6%
55
 
7.6%
55
 
7.6%
54
 
7.5%
41
 
5.7%
18
 
2.5%
Other values (50) 186
25.9%

게시대 형태
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
반자동
34 
사다리
12 
전반자동

Length

Max length4
Median length3
Mean length3.1636364
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사다리
2nd row반자동
3rd row반자동
4th row반자동
5th row사다리

Common Values

ValueCountFrequency (%)
반자동 34
61.8%
사다리 12
 
21.8%
전반자동 9
 
16.4%

Length

2023-12-11T09:45:16.053359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:45:16.161934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
반자동 34
61.8%
사다리 12
 
21.8%
전반자동 9
 
16.4%

규격
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
6m×0.7m
55 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6m×0.7m
2nd row6m×0.7m
3rd row6m×0.7m
4th row6m×0.7m
5th row6m×0.7m

Common Values

ValueCountFrequency (%)
6m×0.7m 55
100.0%

Length

2023-12-11T09:45:16.266232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:45:16.349295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6m×0.7m 55
100.0%

게시면
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
5
42 
6
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row6
4th row6
5th row5

Common Values

ValueCountFrequency (%)
5 42
76.4%
6 13
 
23.6%

Length

2023-12-11T09:45:16.445862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:45:16.547008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 42
76.4%
6 13
 
23.6%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2020-12-11 00:00:00
Maximum2020-12-11 00:00:00
2023-12-11T09:45:16.618369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:45:16.716700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T09:45:13.878972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:45:16.782472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호게시대명위치(지번)게시대 형태게시면
번호1.0000.8720.9810.3560.653
게시대명0.8721.0000.9670.0001.000
위치(지번)0.9810.9671.0000.9490.867
게시대 형태0.3560.0000.9491.0000.246
게시면0.6531.0000.8670.2461.000
2023-12-11T09:45:16.868093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시대 형태게시면
게시대 형태1.0000.396
게시면0.3961.000
2023-12-11T09:45:16.958894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/