Overview

Dataset statistics

Number of variables7
Number of observations54
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
Categorical4

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

Reproduction

Analysis started2023-12-11 00:45:21.522312
Analysis finished2023-12-11 00:45:22.011080
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-11T09:45:22.076120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2023-12-11T09:45:22.185257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

게시대명
Text

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-11T09:45:22.354065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length17.685185
Min length14

Characters and Unicode

Total characters955
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

Unique51 ?
Unique (%)94.4%

Sample

1st row현수막 지정게시대(농산물종합유통센터 앞)
2nd row현수막 지정게시대(무전삼거리)
3rd row현수막 지정게시대(의병사거리1)
4th row현수막 지정게시대(의병사거리2)
5th row현수막 지정게시대(시외버스터미널 1)
ValueCountFrequency (%)
현수막 54
37.2%
앞 10
 
6.9%
입구 7
 
4.8%
지정게시대(면사무소 4
 
2.8%
옆 4
 
2.8%
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 (55) 56
38.6%
2023-12-11T09:45:22.625307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
 
9.5%
지 62
 
6.5%
정 59
 
6.2%
시 57
 
6.0%
현 55
 
5.8%
수 55
 
5.8%
막 54
 
5.7%
게 54
 
5.7%
대 54
 
5.7%
( 54
 
5.7%
Other values (112) 360
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 746
78.1%
Space Separator 91
 
9.5%
Open Punctuation 54
 
5.7%
Close Punctuation 54
 
5.7%
Decimal Number 10
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 62
 
8.3%
정 59
 
7.9%
시 57
 
7.6%
현 55
 
7.4%
수 55
 
7.4%
막 54
 
7.2%
게 54
 
7.2%
대 54
 
7.2%
앞 11
 
1.5%
거 11
 
1.5%
Other values (107) 274
36.7%
Decimal Number
ValueCountFrequency (%)
1 5
50.0%
2 5
50.0%
Space Separator
ValueCountFrequency (%)
91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 746
78.1%
Common 209
 
21.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 62
 
8.3%
정 59
 
7.9%
시 57
 
7.6%
현 55
 
7.4%
수 55
 
7.4%
막 54
 
7.2%
게 54
 
7.2%
대 54
 
7.2%
앞 11
 
1.5%
거 11
 
1.5%
Other values (107) 274
36.7%
Common
ValueCountFrequency (%)
91
43.5%
( 54
25.8%
) 54
25.8%
1 5
 
2.4%
2 5
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 746
78.1%
ASCII 209
 
21.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
43.5%
( 54
25.8%
) 54
25.8%
1 5
 
2.4%
2 5
 
2.4%
Hangul
ValueCountFrequency (%)
지 62
 
8.3%
정 59
 
7.9%
시 57
 
7.6%
현 55
 
7.4%
수 55
 
7.4%
막 54
 
7.2%
게 54
 
7.2%
대 54
 
7.2%
앞 11
 
1.5%
거 11
 
1.5%
Other values (107) 274
36.7%

위치(지번)
Text

Distinct50
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-11T09:45:22.837221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length16.777778
Min length14

Characters and Unicode

Total characters906
Distinct characters69
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

Unique46 ?
Unique (%)85.2%

Sample

1st row의령군 의령읍 무전리 176-5
2nd row의령군 의령읍 무전리 228-3
3rd row의령군 의령읍 동동리 877-7
4th row의령군 의령읍 동동리 877-7
5th row의령군 의령읍 서동리 792-2
ValueCountFrequency (%)
의령군 54
25.0%
의령읍 13
 
6.0%
서동리 6
 
2.8%
부림면 6
 
2.8%
동동리 5
 
2.3%
정곡면 5
 
2.3%
궁류면 4
 
1.9%
유곡면 4
 
1.9%
지정면 3
 
1.4%
신포리 3
 
1.4%
Other values (87) 113
52.3%
2023-12-11T09:45:23.165521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162
17.9%
의 71
 
7.8%
령 67
 
7.4%
군 54
 
6.0%
리 53
 
5.8%
- 46
 
5.1%
면 41
 
4.5%
2 33
 
3.6%
1 32
 
3.5%
3 27
 
3.0%
Other values (59) 320
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 490
54.1%
Decimal Number 208
23.0%
Space Separator 162
 
17.9%
Dash Punctuation 46
 
5.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 71
14.5%
령 67
13.7%
군 54
11.0%
리 53
 
10.8%
면 41
 
8.4%
곡 18
 
3.7%
동 17
 
3.5%
읍 13
 
2.7%
정 12
 
2.4%
서 10
 
2.0%
Other values (47) 134
27.3%
Decimal Number
ValueCountFrequency (%)
2 33
15.9%
1 32
15.4%
3 27
13.0%
4 25
12.0%
7 20
9.6%
9 20
9.6%
5 17
8.2%
0 14
6.7%
6 12
 
5.8%
8 8
 
3.8%
Space Separator
ValueCountFrequency (%)
162
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 490
54.1%
Common 416
45.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 71
14.5%
령 67
13.7%
군 54
11.0%
리 53
 
10.8%
면 41
 
8.4%
곡 18
 
3.7%
동 17
 
3.5%
읍 13
 
2.7%
정 12
 
2.4%
서 10
 
2.0%
Other values (47) 134
27.3%
Common
ValueCountFrequency (%)
162
38.9%
- 46
 
11.1%
2 33
 
7.9%
1 32
 
7.7%
3 27
 
6.5%
4 25
 
6.0%
7 20
 
4.8%
9 20
 
4.8%
5 17
 
4.1%
0 14
 
3.4%
Other values (2) 20
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 490
54.1%
ASCII 416
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
162
38.9%
- 46
 
11.1%
2 33
 
7.9%
1 32
 
7.7%
3 27
 
6.5%
4 25
 
6.0%
7 20
 
4.8%
9 20
 
4.8%
5 17
 
4.1%
0 14
 
3.4%
Other values (2) 20
 
4.8%
Hangul
ValueCountFrequency (%)
의 71
14.5%
령 67
13.7%
군 54
11.0%
리 53
 
10.8%
면 41
 
8.4%
곡 18
 
3.7%
동 17
 
3.5%
읍 13
 
2.7%
정 12
 
2.4%
서 10
 
2.0%
Other values (47) 134
27.3%

게시대 형태
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
사다리
24 
반자동
20 
전반자동
10 

Length

Max length4
Median length3
Mean length3.1851852
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사다리 24
44.4%
반자동 20
37.0%
전반자동 10
18.5%

Length

2023-12-11T09:45:23.271269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:45:23.368868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사다리 24
44.4%
반자동 20
37.0%
전반자동 10
18.5%

규격
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
6m×0.9m
54 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6m×0.9m
2nd row6m×0.9m
3rd row6m×0.9m
4th row6m×0.9m
5th row6m×0.9m

Common Values

ValueCountFrequency (%)
6m×0.9m 54
100.0%

Length

2023-12-11T09:45:23.459349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:45:23.529151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6m×0.9m 54
100.0%

게시면
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
5
54 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5 54
100.0%

Length

2023-12-11T09:45:23.603261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:45:23.673313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 54
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
2019-07-01
54 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-07-01
2nd row2019-07-01
3rd row2019-07-01
4th row2019-07-01
5th row2019-07-01

Common Values

ValueCountFrequency (%)
2019-07-01 54
100.0%

Length

2023-12-11T09:45:23.747197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:45:23.819382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-07-01 54
100.0%

Interactions

2023-12-11T09:45:21.806177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:45:23.862905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호게시대명위치(지번)게시대 형태
번호1.0000.8780.9930.502
게시대명0.8781.0000.9690.000
위치(지번)0.9930.9691.0001.000
게시대 형태0.5020.0001.0001.000
2023-12-11T09:45:23.934723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호게시대 형태
번호1.0000.319
게시대 형태0.3191.000

Missing values

2023-12-11T09:45:21.888433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:45:21.976262image/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

번호게시대명위치(지번)게시대 형태규격게시면데이터기준일
01현수막 지정게시대(농산물종합유통센터 앞)의령군 의령읍 무전리 176-5사다리6m×0.9m52019-07-01
12현수막 지정게시대(무전삼거리)의령군 의령읍 무전리 228-3전반자동6m×0.9m52019-07-01
23현수막 지정게시대(의병사거리1)의령군 의령읍 동동리 877-7사다리6m×0.9m52019-07-01
34현수막 지정게시대(의병사거리2)의령군 의령읍 동동리 877-7사다리6m×0.9m52019-07-01
45현수막 지정게시대(시외버스터미널 1)의령군 의령읍 서동리 792-2사다리6m×0.9m52019-07-01
56현수막 지정게시대(시외버스터미널 2)의령군 의령읍 서동리 792-2사다리6m×0.9m52019-07-01
67현수막 지정게시대(남천교 옆)의령군 의령읍 서동리 644-2사다리6m×0.9m52019-07-01
78현수막 지정게시대(국민체육센터 입구 1)의령군 의령읍 서동리 994-11전반자동6m×0.9m52019-07-01
89현수막 지정게시대(국민체육센터 입구 2)의령군 의령읍 서동리 606전반자동6m×0.9m52019-07-01
910현수막 지정게시대(의령카센터뒤)의령군 의령읍 서동리 521-1사다리6m×0.9m52019-07-01
번호게시대명위치(지번)게시대 형태규격게시면데이터기준일
4445현수막 지정게시대(운계삼거리)의령군 궁류면 운계리 94-5사다리6m×0.9m52019-07-01
4546현수막 지정게시대(벽계야영장)의령군 궁류면 벽계리 산61-7전반자동6m×0.9m52019-07-01
4647현수막 지정게시대(운계공원 앞)의령군 궁류면 압곡리 845-5전반자동6m×0.9m52019-07-01
4748현수막 지정게시대(신촌마을 입구)의령군 유곡면 신촌리 203-9사다리6m×0.9m52019-07-01
4849현수막 지정게시대(야산삼거리)의령군 유곡면 세간리 399-4사다리6m×0.9m52019-07-01
4950현수막 지정게시대(보건지소 앞)의령군 유곡면 칠곡리 893-5반자동6m×0.9m52019-07-01
5051현수막 지정게시대(캠핑장)의령군 유곡면 당동리 404-1반자동6m×0.9m52019-07-01
5152현수막 지정게시대(칠곡 신포)의령군 칠곡면 신포리 57-1반자동6m×0.9m52019-07-01
5253현수막 지정게시대(화정 상이)의령군 화정면 상이리 562-2반자동6m×0.9m52019-07-01
5354현수막 지정게시대(백야오거리)의령군 의령읍 동동리 31-14반자동6m×0.9m52019-07-01